Curriculum Vitae

Personal info

| Education | Publications | Experience | Acknowledgments

Name:

  Gabriel Escarela Pérez Gabriel Escarela
E-mail:   eMailgabriel@escarela.com

Internet page:

 

eMailhttp://www.escarela.com

Nationality:

 

Mexican

Aptitudes:

 

 

 

Research topics:
Biostatistics, Estimation, Generalized Linear Models, Longitudinal Data, Social Statistics, Survival Data, Time Series

Languages:
Spanish, English and German

Programming languages:
C, HTML, Java, LaTeX, MAPLE, R, S-PLUS and SAS

Operating systems:
DOS, Solaris, Unix, Windows and X Windows

Education:

 

 

 

Degree with BSc in Actuarial Science:
Universidad Nacional Autónoma de México, Mexico City, Mexico, 1993

Thesis:
Riesgos de las Agrupaciones Financieras: Casas de Bolsa e Instituciones de Arrendamiento

MSc in Computational Statistics:
University of Bath, Bath, United Kingdom, 1996

Thesis:
Stochastic Volatility and Volatility Smiles

Ph.D. in Applied Statistics:
Lancaster University, Lancaster, United Kingdom, 2000

Dissertation:
Extending Split-Population Models in the Analysis of Recidivism

Books:

 
  1. Pérez Ruiz, L.C. and Escarela, G. (2012). Modelos Basados en Cópulas Discretas: Análisis de Datos Longitudinales Binarios. EAE Editorial Académica Española. ISBN-13: 9783659064579, ISBN-10: 3659064572. Resumen
  2. Delgado, J.; Escarela, G. and Saavedra, P. (2009). Taller de Modelado: Manos a la Obra. CBI, UAM-I. Mexico City. ISBN-13: 9786074770360. Resumen
  3. Escarela, G. (2009). Statistical Methods for the Analysis of Recidivism Data: An Applied Approach. LAP Lambert Academic Publishing. ISBN-13: 9783838307343, ISBN-10: 3838307348. Resumen Vista previa del libro

Published articles
in international
refereed
journals:

 
  1. Bowater, R.J. and Escarela, G. (2013). Heterogeneity and Study Size in Random-Effects Meta-Analysis. Journal of Applied Statistics, 40:(1) 2-16. DOI: 10.1080/02664763.2012.700448, ISSN: 0266-4763, eISSN: 1360-0532. Resumen
  2. Escarela, G.; Ruiz-de-Chavez, J. and Castillo-Morales, A. (2013). Addressing Missing Covariates for the Regression Analysis of Competing Risks: Prognostic Modelling for Triaging Patients Diagnosed with Prostate Cancer. Statistical Methods in Medical Research. DOI: 10.1177/0962280213492406, ISSN: 0962-2802, eISSN: 1477-0334. Resumen
  3. Escarela, G. (2012). Extreme Value Modeling for the Analysis and Prediction of Time Series of Extreme Tropospheric Ozone Levels: A Case Study.Journal of the Air & Waste Management Association, 62:(6) 651-661. DOI:10.1080/10962247.2012.665414, ISSN: 1096-2247. Resumen
  4. Hernandez-Quintero, A.; Dupuy, J.-F. and Escarela, G. (2011). Analysis of a Semiparametric Mixture Model for Competing Risks. Annals of the Institute of Statistical Mathematics, 63:(2) 305-329. DOI: 10.1007/s10463-009-0229-1, ISSN: 0020-3157, eISSN: 1572-9052. Resumen
  5. Nuñez-Antonio, G.; Gutiérrez-Peña, E. and Escarela, G. (2011). A Bayesian Regression Model for Circular Data Based on Projected Normal Distribution. Statistical Modelling, 11:(3) 185-201. DOI: 10.1177/1471082X1001100301, ISSN: 1471-082X, eISSN: 1477-0342. Resumen
  6. Escarela, G. and Hernández, A. (2009). Modelado de Parejas Aleatorias Usando Cópulas (Modelling Random Couples Using Copulas). Revista Colombiana de Estadística, 32:(1) 33-58. ISSN: 0120-1751. Resumen
  7. Escarela, G.; Pérez-Ruíz, L.C. and Bowater, R.J. (2009). A Copula-Based Markov Chain Model for the Analysis of Binary Longitudinal Data. Journal of Applied Statistics, 36:(6) 647-657. DOI: 10.1080/02664760802499287, ISSN: 0266-4763, eISSN: 1360-0532. Resumen
  8. Escarela, G. and Bowater, R.J. (2008). Fitting a Semi-Parametric Mixture Model for Competing Risks in Survival Data. Communications in Statistics: Theory and Methods, 37:(2) 277-293. DOI: 10.1080/03610920701649134, ISSN: 0361-0926, eISSN: 1532-415X. Resumen
  9. Dupuy, J.-F. and Escarela, G. (2007). Modélisation de Risques Concurrents par un Modèle de Mélange Semi-Paramétrique (Modeling Competing Risks with a Semi-Parametric Mixture Model). Comptes Rendus Mathematique, 344:(10) 641-644. DOI: 10.1016/j.crma.2007.03.031, ISSN: 1631-073X. Resumen 
  10. Escarela, G., Mena, R.H. and Castillo-Morales, A. (2006). A Flexible Class of Parametric Transition Regression Models Based on Copulas: Application to Pollomyelitis Incidence. Statistical Methods in Medical Research, 15:(6) 593-609. DOI: 10.1177/0962280206070645, ISSN: 0962-2802, eISSN: 1477-0334. Resumen
  11. Escarela, G. and Carrière, J.F. (2006). A Bivariate Model of Claim Frequencies and Severities. Journal of Applied  Statistics, 33:(8) 867-883. DOI: 10.1080/02664760600743969, ISSN: 0266-4763, eISSN: 1360-0532. Resumen
  12. Escarela, G. and Carrière, J.F. (2003). Fitting Competing Risks with an Assumed Copula. Statistical Methods in Medical Research, 12:(4) 333-349. DOI: 10.1191/0962280203sm335ra, ISSN: 0962-2802, eISSN: 1477-0334. Resumen
  13. Escarela, G.; Francis, B. and Soothill, K. (2000). Competing Risks, Persistence, and Desistance in Analyzing Recidivism. Journal of Quantitative Criminology, 16:(4) 385-414. DOI: 10.1023/A:1007586031274, ISSN: 0748-4518, eISSN: 1573-7799. Resumen
  14. Soothill, K.L.; Francis, B.J. and Escarela, G. (1999). White-Collars and Black Sheep: A Twenty-Year Criminological Follow-Up of White-Collar Ex-Offenders. The Australian and New Zealand Journal of Criminology, 32:(3) 303-314. ISSN: 0004-8658, eISSN: 0157-1532.

Chapters in books:

 
  1. Hernández, L.; Escarela, G. and Hernández, A. (2009). Modelos Autorregresivos para Series de Tiempo Ambientales. In: Estrada Barragán, E.; Martínez Martínez, A.F.; Nieto Barajas, L.E. and Cuevas Covarrubias, C. (eds.), Memoria del XXIII Foro Nacional de Estadística, Aguascalientes, México, pp. 83-88. Instituto Nacional de Estadística, Geografía e Informática. ISBN-13: 9786074940039.
  2. Nuñez-Antonio, G.; Gutiérrez-Peña, E. and Escarela, G. (2009). Un Modelo Bayesiano para Regresión Circular-Lineal. In: Estrada Barragán, E.; Martínez Martínez, A.F.; Nieto Barajas, L.E. and Cuevas Covarrubias, C. (eds.), Memoria del XXIII Foro Nacional de Estadística, Aguascalientes, México, pp. 113-118. Instituto Nacional de Estadística, Geografía e Informática. ISBN-13: 9786074940039.
  3. Escarela, G. (2008). Modelado Conjunto de Frecuencias y Severidades. In: Estrada Barragán, E.; Martínez Martínez, A. F.; Mena Chávez, R. H. and Nieto Barajas, L. E. (eds.), Memoria del XXII Foro Nacional de Estadística, Aguascalientes, Mexico, pp. 7-12. Instituto Nacional de Estadística, Geografía e Informática. ISBN-13: 9789701350553.
  4. Hernández Gallardo, L. and Escarela, G. (2008). Modelado Atmosférico para Determinar Niveles Máximos Diarios de Ozono en la Ciudad de Guadalajara. In: Estrada Barragán, E.; Martínez Martínez, A. F.; Mena Chávez, R. H. and Nieto Barajas, L. E. (eds.), Memoria del XXII Foro Nacional de Estadística, Aguascalientes, Mexico, pp. 39-46. Instituto Nacional de Estadística, Geografía e Informática. ISBN-13: 9789701350553.
  5. Hernández Quintero, A.; Dupuy, J.F. and Escarela, G. (2008). Modelo de Decremento Múltiple Semiparamétrico para Datos de Supervivencia. In: Estrada Barragán, E.; Martínez Martínez, A. F.; Mena Chávez, R. H. and Nieto Barajas, L. E. (eds.), Memoria del XXII Foro Nacional de Estadística, Aguascalientes, Mexico, pp. 33-38. Instituto Nacional de Estadística, Geografía e Informática. ISBN-13: 9789701350553.
  6. Moreno Zúñiga, T. and Escarela, G. (2008). Análisis Bivariado de Extremos para Evaluar los Niveles de Ozono Troposférico en la Zona Metropolitana de Guadalajara. In: Estrada Barragán, E.; Martínez Martínez, A. F.; Mena Chávez, R. H. and Nieto Barajas, L. E. (eds.), Memoria del XXII Foro Nacional de Estadística, Aguascalientes, Mexico, pp. 61-68. Instituto Nacional de Estadística, Geografía e Informática. ISBN-13: 9789701350553.
  7. Pérez-Ruíz, L.C. and Escarela, G. (2007). A Discretised-Copula-Based Transition Model for Binary Longitudinal Data. In: del Castillo, J., Espinal, A. and Puig, P. (eds.), Proceedings of the 22nd International Workshop on Statistical Modelling (IWSM), Barcelona, Spain, pp. 498-503. l’Institut d’Estadística de Catalunya, IDESCAT. ISBN-13: 9788469059432.
  8. Hernández Quintero, A. and Escarela, G. (2007). Una Clase Flexible de Modelos Autorregresivos de Primer Orden Utilizando Cópulas. In: Memorias del XXI Foro Nacional de Estadística, pp. 77-81. ISBN-13: 9789701349304.
  9. Polo  Vuelvas, M.A. and Escarela Pérez, G. (2007). Análisis de Datos Longitudinales en R. In: Memorias del XXI Foro Nacional de Estadística. pp. 83-87. ISBN-13: 9789701349304.
  10. Tajonar Sanabria, F.S. and Escarela Pérez, G. (2007). Modelos de Transición para Analizar Problemas de Ecología. In: Memorias del XXI Foro Nacional de Estadística, pp. 89-94. ISBN-13: 9789701349304.
  11. Escarela, G.; Mena, R.H. and Castillo-Morales, A. (2006). Modelling Non-Gaussian Time Series with a Mixture Copula Transition Model. In: Hinde, J.; Einbeck, J. and Newell, J. (eds.), Proceedings of the 21st International Workshop on Statistical Modelling (IWSM), Galway, Irland, pp. 164-171. ISBN-13: 9781862201804, ISBN-10: 1862201803.
  12. Escarela, G. (2005). Inferencia Paramétrica para una Clase de Cadenas de Markov. In: Díaz Avalos, C.; González Fragoso, A. and Anaya Izquierdo, K. (eds.), Memorias del XVIII Foro Nacional de Estadística, pp. 21-26. Instituto Nacional de Estadística, Geografía e Informática, Aguascalientes. ISBN-10: 9701336534.
  13. Escarela, G. and Carrière, J. (2003). Concomitant Information in a Bivariate Model of Claim Frequencies and Servities. In: Dhaene, J.; Kolev, N. and Morettin, P. (eds.), Proceedings of the First Brazilian Conference on Statistical Modelling in Insurance and Finance, Ubatuba, Brazil, pp. 126-129. University of São Paulo. ISBN: 8588697033.
  14. Escarela, G. and Carrière, J. (2003). Inference in a Semiparametric Multiple Decrement Model. In: Dhaene, J.; Kolev, N. and Morettin, P. (eds.), Proceedings of the First Brazilian Conference on Statistical Modelling in Insurance and Finance, Ubatuba, Brazil, pp. 130-133. University of São Paulo. ISBN: 8588697033.

Conference papers/
reports:

 
  1. Escarela Pérez, G. (2003). Inferencia Paramétrica para una Clase de Cadenas de Markov. In: XVIII Foro Nacional de Estadística – La Enseñanza de la Estadística y su Uso en la Investigación, from 13th to 17th October 2003, Mexico City, Mexico, pp. 22-24. Facultad de Ciencias, UNAM
  2. Escarela, G. (2002). Modelling Concomitant Competing Risks with Copulas. Ponencia por contribución. In: Stasinopoulos, M. and Touloumi, G. (eds.), Statistical Modelling in Society: Proceedings of the 17th International Workshop on Statistical Modelling (IWSM), Chania, Greece, from 8th to 12th July 2002, pp. 235-242.
  3. Escarela, G. and Francis, B. (1999). A Frailty Model of Susceptibility with Competing Risks for Reconviction Data. In: Friedl, H., Berghold, A. and Kauermann, G. (eds.), Statistical Modelling: Proceedings of the 14th International Workshop on Statistical Modelling (IWSM), Graz, Austria, from 19th to 23rd July 1999, pp. 496-500.
  4. Soothill, K.; Francis, B. and Escarela, G. (1997). White-Collars and Black Sheep Revisited: A Twenty-Year Criminological Follow-Up of White-Collar Ex-Offenders. In: Australian Association of Social Workers: Proceedings of the 25th National Conference, Canberra, Australia, from 21st to 24 September 1997.

Technical report:

 
  • Nuñez, G. ; Gutiérrez, E. and Escarela, G. (2008). A Bayesian Regression Model for Circular Data Based on the Projected Normal Distribution. Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas. Unidad de Publicaciones y Difusión, IIMAS-UNAM, Mexico City.

Lecture notes
(in Spanish):

 
  1. Escarela Pérez, G. (2009). Manual de NCSS para Cursos Básicos de Estadística. Universidad Autónoma Metropolitana, Unidad Iztapalapa, División de Ciencias Básicas e Ingeniería, Departamento de Matemáticas. Docencia, 04.0405.II.10.004.2009. Notas
  2. Escarela Pérez, G. (2006). Modelos de Superviviencia. Universidad Autónoma Metroplotiana, Unidad Iztapalapa, División de Ciencias Básicas e Ingeniería, Departamento de Matemáticas. Docencia, 04.0405.II.11.001.2006. Notas
  3. Escarela Pérez, G. (1994). Riesgos de las Agrupaciones Financieras: Casas de Bolsa e Instituciones de Arrendamiento. Vínculos Matemáticos, No. 207. Publicaciones del Departamento de Matemáticas de la Facultad de Ciencias, UNAM.

Referee in
international
journals:

 
  1. In the Journal of Applied Statistics, 2010. ISSN: 0266-4763, eISSN: 1360-0532.
  2. In the British Journal of Mathematical and Statistical Psychology, 2010. ISSN: 007-1102.
  3. In the journal Revista Colombiana de Estadística NE07, 2010. ISSN: 0120-1751.
  4. In the Journal of Applied Statistics, 2008. ISSN: 0266-4763, eISSN: 1360-0532.
  5. In the Special Issue of the journal Stochastic Models. ISSN: 1532-6349, eISSN: 1532-4214.
  6. In the journal Advances in Water Resources. ISSN: 0309-1708.

Citations (Type A*):

* If not indicated differently.
The three types are:

Type A: None of the authors of the cited work appears as an author of the citing work.
Type B: At least one of the authors, except myself, also appears as an auhtor of the citing work.
Type C: Self-citation.
 
  1. For the article:
    Hernandez-Quintero, A.; Dupuy, J.-F. and Escarela, G. (2011). Analysis of a Semiparametric Mixture Model for Competing Risks. Annals of the Institute of Statistical Mathematics, 63:(2) 305-329. DOI: 10.1007/s10463-009-0229-1, ISSN: 0020-3157, eISSN: 1572-9052.
    1. In the thesis:
      1. de Azevedo Silva, R. (2011). Modelos de Fração de Curva com Fatores Latentes Competitivos e Fragilidade. Master's thesis. Universidad de São Paulo.
  2. For the article:
    Nuñez-Antonio, G.; Gutiérrez-Peña, E. and Escarela, G. (2011). A Bayesian Regression Model for Circular Data Based on Projected Normal Distribution. Statistical Modelling, 11:(3) 185-201. DOI: 10.1177/1471082X1001100301, ISSN: 1471-082X, eISSN: 1477-0342.
    1. In the articles:
      1. Wang, F. and Gelfand, A.E. (2013). Directional Data Analysis Under the General Projected Normal Distribution. Statistical Methodology, 10:(1), 113-127. DOI: 10.1016/j.stamet.2012.07.005, ISSN: 1572-3127.
      2. Núñez-Antonio, G. and Gutiérrez-Peña, E. (2011). A Bayesian Model for Longitudinal Circular Data Based on the Projected Normal Distribution. Computational Statistics & Data Analysis. http://dx.doi.org/10.1016/j.csda.2012.07.025, ISSN: 0167-9473. [Typ B]
    2. In the technical report:
      1. Núñez-Antonio, G. and Gutiérrez-Peña, E. (2011). A Bayesian Model for Longitudinal Circular Data. Universidad Carlos III de Madrid, Spain. [Type B]
         
  3. For the article:
    Escarela, G. and Hernández, A. (2009). Modelado de Parejas Aleatorias Usando Cópulas (Modelling Random Couples Using Copulas). Revista Colombiana de Estadística, 32:(1) 33-58. ISSN: 0120-1751.
    1. In the article:
      1. Villa-Diharce, E.R. and Monjardin, P.E. (2011). Análisis Bivariado de Confiabilidad Basado en
        Cópulas (Reliability Bivariate Analysis Based on Copulas).
        Revista Colombiana de Estadística, Número especial, 34:(2) 267-285. ISSN: 0120-1751.
    2. In the thesis:
      1. Moreno Chavarro, D.C. (2012). Método para Eligir una Cópula Arquimediana Óptima. Thesis. Universidad Nacional de Colombia, Columbia.
         
  4. For the article:
    Escarela, G.;
    Pérez-Ruíz, L.C. and Bowater, R.J. (2009). A Copula-Based Markov Chain Model for the Analysis of Binary Longitudinal Data. Journal of Applied Statistics, 36:(6) 647-657. DOI: 10.1080/02664760802499287, ISSN: 0266-4763, eISSN: 1360-0532.
    1. In the articles:
      1. Wilding, G.E.; Cai, X.; Hutson, A. and Yu, Z. (2011). A Linear Model-Based Test for the Heterogeneity of Conditional Correlations. Journal of Applied Statistics. DOI: 10.1080/02664763.2011.559201, ISSN: 0266-4763, eISSN: 1360-0532.
      2. Escarela, G. and Hernández, A. (2009). Modelado de Parejas Aleatorias Usando Cópulas (Modelling Random Couples Using Copulas). Revista Colombiana de Estadística, 32:(1) 33-58. ISSN: 0120-1751. [Type C]
  5. Al artículo:
    Escarela, G. and Bowater, R.J. (2008). Fitting a Semi-Parametric Mixture Model for Competing Risks in Survival Data. Communications in Statistics: Theory and Methods, 37:(2) 277-293. DOI: 10.1080/03610920701649134, ISSN: 0361-0926, eISSN: 1532-415X.
    1. In the articles:
      1. Haller, B.; Schmidt, G. and Ulm, K. (2012). Applying Competing Risks Regression Models: An Overview. Lifetime Data Analysis. DOI: DOI: 10.1007/s10985-012-9230-8, ISSN: 1380-7870, eISSN: 1572-9249.
      2. Hernandez-Quintero, A.; Dupuy, J.-F. and Escarela, G. (2011). Analysis of a Semiparametric Mixture Model for Competing Risks. Annals of the Institute of Statistical Mathematics, 63:(2) 305-329. DOI: 10.1007/s10463-009-0229-1, ISSN: 0020-3157, eISSN: 1572-9052. [Type C]
      3. Dupuy, J.-F. and Escarela, G. (2007). Modélisation de Risques Concurrents par un Modèle de Mélange Semi-Paramétrique (Modeling Competing Risks with a Semi-Parametric Mixture Model). Comptes Rendus Mathematique, 344:(10) 641-644. DOI: 10.1016/j.crma.2007.03.031, ISSN: 1631-073X. [Type C]
    2. In the theses :
      1. Bravo Román, C.D. (2012). Métodos para Estimar Riesgo Crediticio en Base a Minería de Datos y Teoría de Juegos. Dissertation. Universidad de Chile, Santiago, Chile.
      2. Hernandez Quintero, A. (2010). Inférence Statistique Basée Sur les Processus Empiriques Dans des Modèles Semiparamétriques de Durées de Vie. Dissertation. Université Toulouse 3 Paul Sabatier, France.
      3. Matadamas Segura, M.A. (2010). Inferencia para Modelos de Supervivencia de un Solo Evento y Extensiones para Modelos de Riesgos Competitivos. Master thesis . Universidad Autónoma Metropolitana (UAM), Mexico.
  6. For the article:
    Dupuy, J.-F. and Escarela, G. (2007). Modélisation de Risques Concurrents par un Modèle de Mélange Semi-Paramétrique (Modeling Competing Risks with a Semi-Parametric Mixture Model). Comptes Rendus Mathematique, 344:(10) 641-644. DOI: 10.1016/j.crma.2007.03.031, ISSN: 1631-073X.
    1. In the article:
      1. Hernandez-Quintero, A.; Dupuy, J.-F. and Escarela, G. (2011). Analysis of a Semiparametric Mixture Model for Competing Risks. Annals of the Institute of Statistical Mathematics, 63:(2) 305-329. DOI: 10.1007/s10463-009-0229-1, ISSN: 0020-3157, eISSN: 1572-9052. [Type C]
    2. En the thesis :
      1. Hernandez Quintero, A. (2010). Inférence Statistique Basée Sur les Processus Empiriques Dans des Modèles Semiparamétriques de Durées de Vie. Tesis doctoral. Université Toulouse 3 Paul Sabatier, France.
  7. For the article:
    Escarela, G. and Carrière, J.F. (2006). A Bivariate Model of Claim Frequencies and Severities. Journal of Applied  Statistics, 33:(8) 867-883. DOI: 10.1080/02664760600743969, ISSN: 0266-4763, eISSN: 1360-0532.
    1. In the article:
      1. Zhao, X. and Zhou, X. (2012). Copula Models for Insurance Claim Numbers with Excess Zeros and Time-Dependence. Insurance: Mathematics and Economics, 50:(1) 191-199. ISSN: 0167-6687.
      2. Lyu, J.J. and Chen, M.N. (2010). Measurement of Bivariate Attributes Using a Novel Statistical Model. Journal of Applied Statistics, 37:(8) 1319-1334. DOI: 10.1080/02664760903030221, ISSN: 0266-4763, eISSN: 1360-0532.
         
  8. For the article:
    Escarela, G., Mena, R.H. and Castillo-Morales, A. (2006). A Flexible Class of Parametric Transition Regression Models Based on Copulas: Application to Pollomyelitis Incidence. Statistical Methods in Medical Research, 15:(6) 593-609. DOI: 10.1177/0962280206070645, ISSN: 0962-2802, eISSN: 1477-0334.
    1. In the articles:
      1. Nikoloulopoulosa, A.K. and Karlis, D. (2010). Regression in a Copula Model for Bivariate Count Data. Journal of Applied Statistics, 37:(9) 1555-1568. DOI: 10.1080/02664760903093591, ISSN: 0266-4763, eISSN: 1360-0532.
      2. Escarela, G. and Hernández, A. (2009). Modelado de Parejas Aleatorias Usando Cópulas (Modelling Random Couples Using Copulas). Revista Colombiana de Estadística, 32:(1) 33-58. ISSN: 0120-1751. [Type C]
      3. Kolev, N. and Paiva, D. (2009). Copula-Based Regression Models: A Survey. Journal of Statistical Planning and Inference, 139:(11) 3847-3856. DOI: 10.1016/j.jspi.2009.05.023, ISSN: 0378-3758.
      4. Sumathi, K. and Aruna Rao, K. (2008). Cure Rate Models - A Partial Review with an Application to Recurrent Event or Count Data. InterStats, http://interstat.statjournals.net/. ISSN: 1941-689X.
    2. In the books:
      1. Balakrishnan, N. and Lai, C.D. (2009). Continuous Bivariate Distributions, 2nd edition. Springer, New York. DOI: 10.1007/b101765, ISBN-13: 978-0-387-09613-1, eISBN: 9780387096148. Vista previa del libro
      2. Icon Group International (2009). Poliomyelitis: Webster's Timeline History, 1840 - 2007. ICON Group International, Inc. ISBN-13: 9780546895148, ISBN-10: 054689514X.
    3. In the technical report:
      1. Galli, A.G.; Armstrong, M. and Totouom, D. (2010). Dynamic Copula Processes. Cerna, Centre d’économie industrielle. Mines-ParisTech. Social Science Research Network (SSRN).
         
  9. For the article:
    Escarela, G. and Carrière, J.F. (2003). Fitting Competing Risks with an Assumed Copula. Statistical Methods in Medical Research, 12:(2) 333-349. DOI: 10.1191/0962280203sm335ra, ISSN: 0962-2802, eISSN: 1477-0334.
    1. In the articles:
      1. Lasmar, N.-E. and Berthoumieu, Y. (2012). Gaussian Copula Multivariate Modeling for Texture Image Retrieval Using Wavelet Transforms. IEEE Transactions on Image Processing, 99. ISSN: 1057-7149.
      2. Ancha, X. and Yincai, T. (2012). Statistical Analysis of Competing Failure Modes in Accelerated Life Testing Based on Assumed Copulas. Chinese Journal of Applied Probability and Statistics, 28:(1) 51-62. ISSN: 1001-4268.
      3. Adamic, P.F. (2010). Modeling Multiple Risks in the Presence of Double Censoring. Scandinavian Actuarial Journal, 2010:(1) 68-81. DOI: 10.1080/03461230802420603, ISSN: 0346-1238, eISSN: 1651-2030.
      4. Adamic, P.; Dixon, S. and Gillis, D. (2010). Multiple Decrement Modeling in the Presence of Interval Censoring and Masking. Scandinavian Actuarial Journal, 2010:(4) 312-327. DOI: 10.1080/03461230903134780, ISSN: 0346-1238, eISSN: 1651-2030.
      5. Bandyopadhyay, D. and Jacome Pumar, A. (2010). Nonparametric Estimation of Conditional Cumulative Hazards for Missing Population Marks. Australian & New Zealand Journal of Statistics, 52:(1) 75-91 (17). DOI: 10.1111/j.1467-842X.2009.00567.x, ISSN: 1369-1473.
      6. Adamis, D. (2009). Statistical Methods for Analysing Longitudinal Data in Delirium Studies. International Review of Psychiatry, 21:(1) 74 - 85. DOI: 10.1080/09540260802675346, ISSN: 1369-1627.
      7. Escarela, G. and Hernández, A. (2009). Modelado de Parejas Aleatorias Usando Cópulas (Modelling Random Couples Using Copulas). Revista Colombiana de Estadística, 32:(1) 33-58. ISSN: 0120-1751. [Type C]
      8. Lopera, C.M.; Jaramillo, M.C. y Arcila, L.D. (2009). Selección de un Modelo Cópula para el Ajuste de Datos Bivariados Dependientes (Selection of a Copula Model to fit Bivariate Dependent Data). Dyna, 76:(158) 253-263. ISSN: 0012-7353.
      9. Zhi-Bin, S.; Hong-Lian, G. y Xia, Z. (2009). Fitting Archimedean Copula to Data. Mathematics in Practice and Theory, 39:(7). ISSN:1000-0984.
      10. Craiu, M. and Craiu R.V. (2008). Choice of Parametric Families of Copulas. Advances and Applications in Statistics, 10:(1) 25-40. ISSN: 0972-3617.
      11. Jaramillo, M.C.; Lopera, C.M.; Manotas, E.C. and Yañez, S. (2008). Generación de Tiempos de Falla Dependientes Weibull Bivariados Usando Cópulas. Revista Colombiana de Estadística, 31:(2) 169-181. ISSN: 0120-1751.  
      12. Kaishev, V.K.; Dimitrova, D.S. and Haberman, S. (2007). Modelling the Joint Distribution of Competing Risks Survival Times Using Copula Functions. Insurance: Mathematics and Economics, 41:(3) 339-361. DOI: 10.1016/j.insmatheco.2006.11.006, ISSN: 0167-6687.
      13. Yan, J. (2007). Enjoy the Joy of Copulas: With a Package Copula. Journal of Statistical Software, 21:(4) 1-21. ISSN: 1548-7660.
      14. Tuerlinckx, F. (2004). A Multivariate Counting Process with Weibull-Distributed First-Arrival Times. Journal of Mathematical Psychology, 48:(1) 65-79. DOI: 10.1016/j.jmp.2003.12.001, ISSN: 0022-2496, eISSN: 1096-0880.
    2. In the books:
      1. Tseng, C.-H. (2009). Copulas for Risk Management: In Financial Market. VDM Verlag. ISBN-13: 9783639133462, ISBN-10: 3639133463.
      2. Moeschenberger, M.L.; Tordoff, K.P. and Kocher, N. (2008). A Review of Statistical Analysis for Competing Risks. DOI: 10.1016/S0169-716/C07J27010-5. In: Rao, C.R.; Miller, J.P. and Rao, D.C. (2008). Handbook of Statistics, Volume 27: Epidemiology and Medical Statistics. Elsevier Science & Technology Books, Amsterdam, The Netherlands. ISBN-13: 9780444528018, ISBN-10: 0444528016, ISSN: 0169-7161. Vista previa del libro
      3. Pham, H. (2006). Springer Handbook of Engineering Statistics. Springer, Piscataway, NJ, USA. ISBN-13: 9781852338060, ISBN-10: 1852338067, eISBN: 9781846282881. Vista previa del libro
      4. Saïd, M. (2006). Méthodes Statistiques pour Tester la Dépendance Entre les Variables Latentes pour des Risques Concurrents. Université Laval, Québec. ISBN-13: 9780494006313, ISBN-10: 0494006315.
      5. Kaishev, V.K.; Dimitrova, D.S. and Haberman, S. (2005). Modelling the Joint Distribution of Competing Risks Survival Times Using Copula Functions. Actuarial Research Paper No. 164, Faculty of Actuarial Science and Statistics, Cass Business School, The City University, London. ISBN-13: 9781901615890, ISBN-10: 1901615898.
    3. In the theses:
      1. Chen, Y.-M. (2012). Risk Assessment Model with Integrated-Information of Copula and Choqeut Fuzzy Integral. Dissertation . North Carolina State University, Raleigh, United States.
      2. Mulero Gónzalez, D.J. (2012). Multivariate Comparisions of Random Vectors with Applications (Comparaciones Multivariantes de Vectores Aleatorios con Aplicaciones). Thesis. Universidad de Murcia, Spain.
      3. Brango García, H.A. (2011). Estimación de la Función de Sobrevivencia con Datos de
        Riesgos en Competencia Bivariados Dependientes - Un Estudio Comparativo Utilizando el Estimador Cópula Gráfico.
        Master's thesis. Universidad Nacional de Colombia, Columbia.
      4. Gui, W. (2009). Adaptive Series Estimators for Copula Densities. Dissertation. Florida State University.
      5. Li, Y. (2009). Tau‐Path Test ‐ A Nonparametric Test for Testing Unspecified Subpopulation Monotone Association. Dissertation. Ohio State University.
      6. Di Lascio, F.M.L. (2008). Analyzing the Dependence Structure of Microarray Data: A Copula-Based Approach. Dissertation. Dottorato di Ricerca in Metodologia Statistica per la Ricerca Scientifica. Scuola di Dottorato in Scienze Economiche e Statistiche. Università di Bologna.
      7. Haile S.R. (2008). Inference on Competing Risks in Breast Cancer Data. Dissertation. University of Pittsburg.
      8. Tordoff, K.P. (2007). Estimating Failure Probabilities and Testing for Treatment Effects in the Presence of Competing Risks. Dissertation. School of The Ohio State University.
      9. Tseng, Y.-H. (2007). Copulas for Risk Management in Financial Market. Master's thesis.
      10. Ardoino, I. (2006). Nonparametric Estimation of Marginal Probability of Time to Treatment Failure Due to a Specific Event in the Presence of Competing Risks. Dissertation. Università de Roma "La Sapienza", Italy.
      11. Saïd, M. (2004). Méthodes Statistiques pour Tester la Dépendance entre les Variables Latentes pour des Risques Concurrents. Dissertation. Université Laval, Québec.
    4. In the technical report:
      1. Ford, K.M.; Arman, M.; Labi, S.; Sinha, K.C.; Shirole, A.; Thompson, P. and Li, Z. (2011). Methodology for Estimating Life Expectancies of Highway Assets (NCHRP-08-71). School of Civil Engeneering, Purdue University, West Lafayette, IN, United States.
    5. In the conference proceeding:
      1. Brango García, H.A.; Canal, S.Y.; Lopera, C.M. and Jaramillo Elorza, M.C. (2010). Estimación de la Confiabilidad para Modelos de Riesgos Competitivos Dependientes Usando Cópulas (Estimation Reliability for Models Dependent Competing Risks Copulas Using). Estadística Aplicada “Didáctica de la Estadística y Métodos Estadísticos en Problemas Socioeconómicos”, VII Coloquio Regional de Estadística, XII Seminario de Estadística Aplicada IASI, III Escuela de Verano CEAES, Universidad Nacional de Colombia - Sede Medellín, Medellín, from 20th to 23th July 2010.
         
  10. For the article:
    Escarela, G.; Francis, B. and Soothill, K. (2000). Competing Risks, Persistence, and Desistance in Analyzing Recidivism. Journal of Quantitative Criminology, 16:(4) 385-414. DOI: 10.1023/A:1007586031274, ISSN: 0748-4518, eISSN: 1573-7799.
    1. In the articles:
      1. Hamilton, Z.K. and Campbell, C.M. (2013). A Dark Figure of Corrections - Failure by Way of Participation. Criminal Justice and Behavior, 40:(2) 180-202. DOI: 10.1177/0093854812464219, ISSN: 0093-8548.
      2. Soothill, K.; Francis, B. and Liu, J. (2010). The Importance of Co-Convictions in the Prediction of Dangerous Recidivism: Blackmail and Kidnapping as a Demonstration Study. Criminology and Criminal Justice, 10:(1) 23-36. DOI: 10.1177/1748895809352650, ISSN: 1748-8958, eISSN: 1748-8966. [Type B]
      3. Ducat, L.; Thomas, S. and Blood, W. (2009). Sensationalising Sex Offenders and Sexual Recidivism: Impact of the Serious Sex Offender Monitoring Act 2005 on Media Reportage. Australian Psychologist, 44:(3) 156-165. DOI: 10.1080/00050060903127499, ISSN: 0005-0067; eISSN: 1742-9544.
      4. Lee, J.-D. and Lee, C.K. (2009). Competing Risks Analysis on Predicting Times to Commit Crimes. InterStats, http://interstat.statjournals.net/. ISSN: 1941-689X.
      5. Bierens, H.J. and Carvalho, J.R. (2007). Semi-Nonparametric Competing Risks Analysis of Recidivism. Journal of Applied Econometrics, 22:(5) 971-993. DOI: 10.1002/jae.960, ISSN: 0883-7252.
      6. Bowles, R.A. and Florackis, C. (2007). Duration of the Time to Reconviction: Evidence from UK Prisoner Discharge Data. Journal of Criminal Justice, 35:(4) 365-378. DOI: 10.1016/j.jcrimjus.2007.05.002, ISSN: 0047-2352. 
      7. Meloy, M.L. (2005). The Sex Offender Next Door: An Analysis of Recidivism, Risk Factors, and Deterrence of Sex Offenders on Probation. Criminal Justice Policy Review, 16:(2) 211-236. DOI: 10.1177/0887403404270601, ISSN: 0887-4034, eISSN: 1552-3586.
      8. Beenstock, M. and Rahav, G. (2004). Immunity and Susceptibility in Illicit Drug Initiation in Israel. Journal of Quantitative Criminology, 20:(2) 117-142. DOI: 10.1023/B:JOQC.0000029091.44200.ab, ISSN: 0748-4518, eISSN: 1573-7799.
      9. Pugh, R. and Jones, P. (2004). Survival Analysis in Social Work Research. British Journal of Social Work, 34:(6) 907-914. DOI: 10.1093/bjsw/bch108, ISSN: 0045-3102, eISSN: 1468-263X.
      10. Maller, R.A. and Zhou, X. (2002). Analysis of Parametric Models for Competing Risks. Statistica Sinica, 12:(3) 725-750. ISSN: 1017-0405.
    2. In the books:
      1. Hilarski, C.; Wodarski, J.S. and Feit, M.D. (2008). Handbook of Social Work in Child and Adolescent Sexual Abuse. Haworth Press. ISBN-13: 9780789032010, 9780789032027, eISBN-13: 9780789032010,eISBN-10: 0203836618. Vista previa del libro
      2. Lloyd, C.D. (2007). Perceptions of the Self and Desistance: Investigating Positive Attributes Associated with Exiting Crime. Carleton University, Ottawa. ISBN-13: 9780494337479, ISBN-10: 0494337478. Vista previa del libro
      3. Keinänen, A. (2004). Tilastollinen Analyysi Rikostaloustieteessä: Teoria Ja Käytäntö. Joensuun Yliopisto, Finland. ISBN-13: 9789524584722, ISBN-10: 9524584735, 9524584727, ISSN: 0781-0350. Vista previa del libro 
      4. Maruna, S. and Immarigeon, R. (2004). After Crime and Punishment: Pathways to Offender Reintegration. Willan Publishing, Portland.ISBN-13: 9781843920571, ISBN-10: 1843920573. Vista previa del libro
    3. In the theses:
      1. Nakamura, K. (2010). Redemption in the Face of Stale Criminal Records Used in Background Checks. Dissertation. Carnegie Mellon University, United States of America.
      2. Léger, A. (2009). Restoration or Retribution: An Empirical Examination of the Recidivistic Patterns of a Group of Young Offenders from New York City. Master's thesis for Queen's University, Kingston, Ontario, Canada.
      3. Ronis, S.T. (2008). Criminal Behavior Patterns of Adolescents and Young Adults Who Have Histories of Sexual Offenses. Dissertation. The Faculty of the Graduate School, University of Missouri.
      4. Ming-Feng (2006). Asymptotic Properties of Parametric Models MLE for Competing Risks with Current Status Data. Master's thesis in Applied Mathematics for the Dalian University of Technology, China.  
      5. Perry Mills, S.M. (2004). Psychosocial Antecedents of Sex Offender Criminality and Violence. Dissertation. University of Lousville, United States.
      6. Carvalho, J. (2002). Essays on the Microeconometrics of Labor Markets and Criminal Behavior. Dissertation. Pennsylvania State University, United States of America.
    4. In the technical reports:
      1. Monnery, B. (2013). The Determinants of Recidivism among Ex-prisoners: A Survival Analysis on French Data. Groupe d'Analyse et de Théorie Économique (GATE) Lyon St Étienne.
      2. Francis, B.; Liu, J. and Soothill, K. (2008). Using the Offenders Index to Investigate Patterns of Offending. 13th Government Statistical Service Methodology Conference, The Congress Centre, London. [Type B]
      3. Chan, L.S.; Kipke, M.D.; Schneir, A.; Iverson, E.; Warf, C.; Limbos, M.A. and Shekelle, P. (2004). Preventing Violence and Related Health-Risking Social Behaviors in Adolescents. Agency for Healthcare Research and Quality, Publication No. 04-E032-2.
      4. Hepburn, J.R. and Griffin, M.L. (2004). An Analysis of Risk Factors Contributing to the Recidivism of Sex Offenders on Probation. National Criminal Justice Reference Service.
  11. For the article:
    Soothill, K.; Francis, B. and Escarela, G. (1999). White-Collars and Black Sheep: A Twenty-Year Criminological Follow-Up of White-Collar Ex-Offenders. The Australian and New Zealand Journal of Criminology, 32:(3) 303-314. ISSN: 0004-8658, eISSN: 0157-1532.
    1. In the articles:
      1. Soothill, K.; Humphreys, L. and Francis, B. (2012). Middle-Class Offenders. The British Journal of Criminology. DOI: 10.1093/bjc/azs014. ISSN: 0007-0955, eISSN: 1464-3529. [Type B]
      2. Gillis, C.A. and Crutcher, N. (2005). Community Employment Centres for Offenders: A Preliminary Exploration. FORUM on Corrections Research, 17:(1) 29-32. ISSN: 0847-0464.
      3. Visher, C.A.; Winterfield, L. and Coggeshall, M.B. (2005). Ex-Offender Employment Programs and Recidivism: A Meta-Analysis. Journal of Experimental Criminology, 1:(3) 295-316. DOI: 10.1007/s11292-005-8127-x, ISSN: 1573-3750, eISSN: 1572-8315.
      4. National Library of Australia (2000). APAIS (Australian Public Affairs Information Service): A Subject Index to Current Literature. ISSN: 0727-8926. Vista previa del libro
    2. In the books:
      1. Graffam, J. and Hardcastle, L. (2007). Ex-Prisoners and Ex-Offenders and the Employment Connection: Assistance Plus Acceptance. In: Dawe, S. (ed.). Vocational Education and Training for Adult Prisoners and Offenders in Australia – Research Readings. Adelaide, NCVER. ISBN-13: 9781921170812, eISBN: 9781921170874.
      2. Baldry, E.; McDonnell, D.; Maplestone P. and Peeters, M. (2003). Ex-Prisoners and Accommodation: What Bearing do Different Forms of Housing Have on Social Reintegration for Ex-Prisoners? - Final Report No. 46 for the Australian Housing and Urban Research Institute. AHURi. ISBN-10: 1920758674, ISSN: 1834-7223.
      3. Merckx, D. (2003). Sanctionering van Economische Criminaliteit: Een Geïntegreerde Beleidsmatige Benadering. Maklu. ISBN-13: 9789062158836, ISBN-10: 9062158838. Vista previa del libro
      4. Baldry, E.; McDonnell, D.; Maplestone P. and Peeters, M. (2002). Ex-Prisoners and Accommodation: What Bearing do Different Forms of Housing Have on Social Reintegration for Ex-Prisoners? - Positioning Paper No. 27 for the Australian Housing and Urban Research Institute. AHURi. ISBN-10: 1877005479, ISSN: 1834-9250.
    3. In the technical reports:
      1. Francis, B.; Liu, J. and Soothill, K. (2008). Using the Offenders Index to Investigate Patterns of Offending. 13th Government Statistical Service Methodology Conference, The Congress Centre, London. [Type B]
      2. Visher, C.A.; Winterfield, L. and Coggeshall, M.B. (2006). Systematic Review of Non-Custodial Employment Programs: Impact on Recidivism Rates of Ex-Offenders. En: The Campbell Collaboration Reviews of Intervention and Policy Evaluations (C2-RIPE), Campbell Systematic Reviews 2006:1. Campbell Collaboration, Philadelphia, PA. DOI: 10.4073/csr.2006.
      3. Gillis, C.A. and Andrews, D.A. (2005). Predicting Community Employment for Federal Offenders on Conditional Release. Reporte técnico No. R-159. Research Branch, Correctional Service Canada, Canadá, Ottawa.   
      4. Gillis, C.; Nafekh, M.; Pepin, M.; Beriau, M.-L. and Jeffery, M. (2005). Report on the Evaluation of the Enhancing Community Corrections Infrastructure: Community Employment Centres Initatives. Evaluation Branch, Correctional Service Canada, Canada.

Presentations at
conferences and
seminars:

 
  1. Escarela, G. (2013). A Copula Approach for Handling Missing Covariate Data within Competing Risks. Poster. International Workshop on Multivariate Analysis and Random Matrices, New Tendencies. Guanajuato, Mexico, September 2013.
  2. Escarela, G. (2012). Modelado de Heterogeinidad No Observada para Datos de Supervivencia con Variables Explicativas Faltantes. Paper. XXVII Foro Nacional de Estadística. Universidad Autónoma del Estado de México, Toluca, Mexico, from 26th to 28th September 2012.
  3. Escarela, G. (2012). Adaptación del Paquete evd para Analizar Series de Tiempo de Valores Extremos. Paper. Encuentro de Usuarios del Lenguaje Estadístico R. Instituto Tecnológico Autónomo de México (ITAM), campus Río Hondo, Mexico City, Mexico, 31st August 2012.
  4. Hernández Gallardo, L. and Escarela Pérez, G. (2010). Valor Extremo Aplicado a Máximos de Ozono. Poster. 11a Feria de Posgrados. Distrito Federal, Pachuca y Campeche, Mexico, from 17th to 22nd May 2010.
  5. Escarela, G. (2010). Fitting Competing Risks with an Assumed Copula. Poster. Semana de Bioinformática, Bioestadística, Análisis de Supervivencia. Instituto Panamericano, CIMAT de Guanajuato, Mexico, from 1st to 8th May 2010.
  6. Escarela Pérez, G. (2010). Modelado Bivariado para Frecuencias y Severidades de Indemnizaciones en Seguros de Gastos Médico. Seminar, paper upon invitation. Seminario de Investigación en Cómputo y Estadística para la Evaluación del Riesgo de la Universidad Anáhuac. Huixquilucan, Estado de México, Mexico, 25th March 2010.
  7. Escarela Pérez, G. (2010). Modelado Estadístico y Aplicaciones a los Seguros de Gastos Médicos. Contributed paper. 3er Coloquio del Departamento de Matemáticas de la Universidad Autónoma Metropolitana, Unidad Iztapalapa. Ixtapa, Zihuatanejo, Guerrero, Mexico, from 3rd to 9th January 2010.
  8. Escarela Pérez, G. (2009). Evaluación de los Niveles de Dietilstilbestrol en el Tratamiento de Cáncer de Próstata. Paper upon invitation. 1er Congreso Internacional de Matemáticas Aplicadas, Toluca, Mexico, from 4th to 6th November 2009.
  9. Moreno Zuñiga, T. and Escarela Pérez, G. (2008). Análisis bivariado esxtremo del ozono troposférico. Poster. IV Foro Académico de la Investigación de la División de CBI de la Universidad Autónoma Metropolitana, Mexico City, Mexico, 14th October 2008.
  10. Hernández Gallardo, L. and Escarela Pérez, G. (2008). Valor Extremo Aplicado a Máximos de Ozono. Poster. IV Foro Académico de la Investigación de la División de CBI de la Universidad Autónoma Metropolitana, Mexico City, Mexico, 14th October 2008.
  11. Nuñez Antonio, G.; Gutiérrez Peña, E. and Escarela, G. (2008). Un Modelo Bayesiano para Regresión Circular-Lineal. Paper. XXIII Foro Nacional de Estadística, Boca del Rio, Veracruz, 12th September 2008.
  12. Hernández Gallardo, L. and Escarela, G. (2008). Modelos de Transición para Series de Tiempo Ambientales. Poster. XXIII Foro Nacional de Estadística, Boca del Rio, Veracruz, 12th September 2008.
  13. Escarela, G. (2008). A Semiparametric Model for the Analysis of Competing Risks Data. Poster. 1st Canada-Mexico Statistics Meeting, February 22-23, 2008, CIMAT, Guanajuato, Gto., Mexico.
  14. Escarela, G. (2008). An Extreme Value Model for Environmental Time Series: An Application to Ground-Level Ozone Data Analysis. Poster. 1st Canada-Mexico Statistics Meeting, from 22nd to 23rd February 2008, CIMAT, Guanajuato, Gto., Mexico.
  15. Escarela, G. (2008). Meteorologically-Dependent and Non-Stationary Trends in Tropospheric Ozone: A Bivariate Extreme Analysis. Poster. 1st Canada-Mexico Statistics Meeting, from 22nd to 23rd February 2008, CIMAT, Guanajuato, Gto., Mexico.
  16. Escarela, G. (2008). Carrera en Estadística: Un Mundo de Oportunidades. Poster. Exposición de divulgación científica “Una Mirada a las Matemáticas desde la Metro Iztapalapa” exhibida en las vitrinas de la estación Consulado del Sistema de Transporte Colectivo Metro, Mexico City, Mexico, from 5th December  2007 to 9th January 2008.
  17. Escarela, G. (2007). Modelado Bivariado para Frecuencias y Severidades de Indemnizaciones en Seguros de Gastos Médicos. XXII Foro Nacional de Estadística, Jurica, Querétaro, Mexico, from 17th to 20th October 2007.
  18. Pérez-Ruíz, L.C. and Escarela, G. (2007). A Discretised-Copula-Based Transition Model for Binary Longitudinal Data. Contributed paper. Proceedings of the 22nd International Workshop on Statistical Modelling (IWSM), Barcelona, Spain, from 2nd to 6th July 2007. Capítulos en libro
  19. Hernández Quintero, A. and Escarela, G. (2007). Una Clase Flexible de Modelos Autorregresivos de Primer Orden Utilizando Cópulas. Contributed paper. Memorias del XXI Foro Nacional de Estadística. Capítulos en libro
  20. Polo  Vuelvas, M.A. and Escarela Pérez, G. (2007). Análisis de Datos Longitudinales en R. Contributed paper. Memorias del XXI Foro Nacional de Estadística. Capítulos en libro
  21. Tajonar Sanabria, F.S. y Escarela Pérez, G. (2007). Modelos de Transición para Analizar Problemas de Ecología. Contributed paper. Memorias del XXI Foro Nacional de Estadística. Capítulos en libro
  22. Escarela, G. (2006). Modelado de Series de Tiempo no Gaussianas con un Modelo de Transición de Cópulas en Mezcla. Seminario de Probabilidad y Estadística, 2006.
  23. Escarela, G.; Mena, R.H. and Castillo-Morales, A. (2006). Modelling Non-Gaussian Time Series with a Mixture Copula Transition Model. Contributed paper. Proceedings of the 21st International Workshop on Statistical Modelling (IWSM), Galway, Ireland, from 3rd to 7th July 2006. Capítulos en libro
  24. Escarela, G. (2005). Jornadas de Física y Matemáticas, Oaxaca de Juárez, Mexico, 2005.
  25. Escarela, G. (2005). Aplicaciones de la Teoría Renovadora y de los Procesos Semi-Markov. Ponencia por contribución. XXXVIII Congreso Nacional de la Sociedad Matemática Mexicana, Mexico City, Mexico, from 23rd to 28th October 2005.
  26. Escarela, G. (2005). Modelos para Datos de Confiabilidad en Presencia de Mantenimiento Operacional. Contributed paper. XXXVIII Congreso Nacional de la Sociedad Matemática Mexicana, Mexico City, Mexico, from 23rd to 28th October 2005.
  27. Escarela, G. (2005). XV Verano de la Investigación Científica, from 27th July to 26th August 2005.
  28. Escarela, G. (2005). Una Carrera en Estadística: Posibilidades y Oportunidades. XVI Semana de la Investigación Científica, Mexico City, Mexico, 2005.
  29. Escarela, G. (2005). Round table. XII Semana de la Estadística, Ciudad de Puebla, Mexico, April 2005.
  30. Escarela, G. (2005). Introducción al Análisis de Supervivencia. 18 hour course. XII Semana de la Estadística, Ciudad de Puebla, Mexico, April 2005.
  31. Escarela, G. (2005). El Ajuste de Datos de Decremento Múltiple con Cópulas. XII Semana de la Estadística, Ciudad de Puebla, Mexico, April 2005.
  32. Escarela Pérez, G. (2004). Cópulas: Caracterización, Correlación y Contraejemplos. Contributed paper. XXXVII Congreso Nacional de la Sociedad Matemática Mexicana, Ensenada, Mexico, from 10th to 15th October 2004.
  33. Escarela Pérez, G. (2004). Modelos para Datos Longitudinales Generados por una Cópula. Contributed paper. XXXVII Congreso Nacional de la Sociedad Matemática Mexicana, Ensenada, Mexico, from 10th to 15th October 2004.
  34. Escarela, G. and Carrière, J. (2003). Concomitant Information in a Bivariate Model of Claim Frequencies and Servities. Contributed paper. Proceedings of the First Brazilian Conference on Statistical Modelling in Insurance and Finance, Ubatuba, Brazil, from 1st to 6th September 2003. Capítulos en libro
  35. Escarela, G. and Carrière, J. (2003). Inference in a Semiparametric Multiple Decrement Model. Contributed paper. Proceedings of the First Brazilian Conference on Statistical Modelling in Insurance and Finance, Ubatuba, Brazil, from 1st to 6th September 2003. Capítulos en libro
  36. Escarela Pérez, G. (2003). Análisis Paramétrico de Datos Bivariados de Supervivencia. Contributed paper. XXXVI Congreso Nacional de la Sociedad Matemática Mexicana, Pachuca, Mexico, from 13th to 17th October 2003.
  37. Escarela Pérez, G. (2003). Un Modelo de Cópulas para la Evaluación del Capital de Riesgo Económico. Contributed paper. XXXVI Congreso Nacional de la Sociedad Matemática Mexicana, Pachuca, Mexico, from 13th to 17th October 2003.
  38. Escarela Pérez, G. (2003). Inferencia Paramétrica para una Clase de Cadenas de Markov. Contributed paper. XVIII Foro Nacional de Estadística – La Enseñanza de la Estadística y su Uso en la Investigación, Mexico City, Mexico, from 13th to 17th October 2003. Capítulos en libro
  39. Escarela, G. (2002). Modelling Concomitant Competing Risks with Copulas. Contributed paper. Statistical Modelling in Society: Proceedings of the 17th International Workshop on Statistical Modelling (IWSM), Chania, Greece, from 8th to 12th July 2002. Memorias en extenso
  40. Escarela, G. and Francis, B. (1999). A Frailty Model of Susceptibility with Competing Risks for Reconviction Data. Contributed paper. Statistical Modelling: Proceedings of the 14th International Workshop on Statistical Modelling (IWSM), Graz, Austria, from 19th to 23th July 1999. Memorias en extenso
  41. Soothill, K.; Francis, B. and Escarela, G. (1997). White-Collars and Black Sheep Revisited: A Twenty-Year Criminological Follow-Up of White-Collar Ex-Offenders. Contributed paper. Australian Association of Social Workers: Proceedings of the 25th National Conference, Canberra, Australia, from 21st to 24th September 1997. Memorias en extenso
The researcher was coordinator of the colloquium “Finanzas Matemáticas” of the Mathematics Department, which took place on 10th November 2009.

Supervised theses:

 
  1. Hernández Quintero, A. (2010). Inferencia Estadística Basada en Procesos Empíricos para Modelos Semiparamétricos del Análisis de Supervivencia. Doctorado en Ciencias (Matemáticas), UAM-I.
  2. Nuñez Antonio, G. (2010). Análisis Bayesiano de Modelos Lineales para Datos Direccionales Considerando la Distribución Normal bajo Proyección. Doctorado en Ciencias (Matemáticas), UAM-I.
  3. Matadamas Segura, M.A. (2010). Inferencia para Modelos de Supervivencia de un Solo Evento y Extensiones para Modelos de Riesgos Competitivos. Maestría en Ciencias (Matemáticas), UAM-I.
  4. Hernández Gallardo, L. (2009). Modelado Atmosférico para Determinar Niveles Máximos Diarios de Ozono en la Ciudad de Guadalajara. Maestría en Ciencias (Matemáticas Aplicadas e Industriales), UAM-I.
  5. Moreno Zúñiga, T. (2009). Análisis Bivariado de Extremos para Evaluar los Niveles de Ozono Troposférico en la Zona Metropolitana de Guadalajara. Maestría en Ciencias (Matemáticas Aplicadas e Industriales), UAM-I.
  6. Arredondo, B.H. y León, D.A. (2008). Teoría Clásica de Valores Extremos y Modelos. Licenciatura en Matemáticas, UAM-I.
  7. Pérez Ruiz, L.C. (2007). Modelado de Datos de Transición Binarios a Través de una Cópula Discreta. Maestría en Ciencias (Matemáticas Aplicadas e Industriales), UAM-I.
  8. Polo Vuelvas, M.A. (2007). Análisis de Modelos de Datos Longitudinales. Maestría en Ciencias (Matemáticas Aplicadas e Industriales), UAM-I.
  9. Hernández Quintero, A. (2005). Construcción de Modelos Autorregresivos de Primer Orden utilizando Cópulas. Licenciatura en Matemáticas, UAM-I. (This work won the Research Award of UAM Iztapalapa in the year 2006.)
  10. Eslava González, T. (2005). Modelos Lineales Generalizados. Licenciatura en Matemáticas, UAM-I.
  11. Becerra Ortega, B. (2005). Un Modelo Estadístico para Pensiones. Licenciatura en Matemáticas, UAM-I.

Participation as
examiner:

 
  1. Hernández Quintero, A. (11/06/2010). Inferencia Estadística Basada en Procesos Empíricos para Modelos Semiparamétricos del Análisis de Supervivencia. Doctorado en Ciencias (Matemáticas), UAM-I.
  2. Nuñez Antonio, G. (01/06/2010). Análisis Bayesiano de Modelos Lineales para Datos Direccionales Considerando la Distribución Normal bajo Proyección. Doctorado en Ciencias (Matemáticas), UAM-I.
  3. Nieto Murillo, S. (22/05/2010). Crédito al Consumo: La Estadística Aplicada a un Problema del Riesgo Crediticio. Maestría en Ciencias (Matemáticas), UAM-I.
  4. Matadamas Segura, M.A. (21/04/2010). Inferencia para Modelos de Supervivencia de un Solo Evento y Extensiones para Modelos de Riesgos Competitivos. Maestría en Ciencias (Matemáticas), UAM-I.
  5. Olmedo García, L.R. (13/11/2009). Propuesta para la Prueba de una Hipótesis Nula Central Compuesta y una Hipótesis Alternativa Bilateral en la Distribución Normal. Maestría en Ciencias (Matemáticas Aplicadas e Industriales), UAM-I.
  6. Hernández Gallardo, L. (03/11/2009). Modelado Atmosférico para Determinar Niveles Máximos Diarios de Ozono en la Ciudad de Guadalajara. Maestría en Ciencias (Matemáticas Aplicadas e Industriales), UAM-I.
  7. Moreno Zúñiga, T. (27/02/2009). Análisis Bivariado de Extremos para Evaluar los Niveles de Ozono Troposférico en la Zona Metropolitana de Guadalajara. Maestría en Ciencias (Matemáticas Aplicadas e Industriales), UAM-I.
  8. Cruz Suárez, H.D. (07/06/2005). Doctorado en Ciencias (Matemáticas).

Academic
activities:

 
  1. Head of the MSc program in Applied and Industrial Mathematics, from 2nd February 2009 to 7th July 2010.
  2. Head of the Probability and Statistics group at the Department of Mathematics, UAM-I, from 1st September 2007 to 2nd February 2009.
  3. Elected representative of the Mathematics staff members at the Divisional Council of the UAM-I, from 28th April 2005 to 7th April 2006.
  4. Member of the Committee for the Master of Science (Applied and Industrial Mathematics) of the UAM-I, 8th February 2004 to 15th November 2007.
  5. Member of the Committee of Mathematics of the UAM-I, 16th June 2003 to date.

Experience:

  List of taught courses
List of elaborated courses
  • Rice University, Houston, Texas, USA, from 1st August 2011 till today. Invited professor: contributing to the research project “Análisis de un Modelo de Regresión para Series de Tiempo de Valores Extremos”.
  • Universidad Autónoma Metropolitana, Mexico City, Mexico, from September 2001 to date. Professor-investigator: contributing to the teaching of the subjects "Applied Probability" in the area of Engeneering, "Statistics I" and "Statistics II" in the area of Mathematics, "Statistics I", "Statistics II" and "Statistics III" in the area of Social Science, Generalized Linear Models and Quality Control in the Master of Applied and Industrial Mathematics.
  • University of Alberta, Canada, from September 2000 to August 2001. Visiting professor and postdoctoral fellow: contributing to the teaching of the subjects "Theory of Interests" and "Life Insurance and Annuities", and writing the article "A copula Regression Model for the Analysis of Competing Risks".
  • Universidad Autónoma Metropolitana, Mexico City, Mexico, from November 1992 to October 1995. Professor assistant: contributing to the teaching of the subjects "Differential and Integral Calculus" and "Applied Mathematics" to Social Sciences.
  • Universidad Nacional Autónoma de México, Mexico City, Mexico, from March 1991 to June 1995. Professor assistant: contributing to the teaching of the subjects "Probability" and "Stochastic Processes".

Staying abroad:  
  1. Rice University, Houston, Texas, USA, from 1st August 2011 to 31st July 2012.
  2. Universidad Católica de Chile, Chile, from 27th September to 2nd October 2010.
  3. University of Birmingham, United Kingdom, from 15th to 19th September 2008.
  4. Universidad Paul Sabatier, France, from 2nd to 13th September 2008.

Acknowledgments:

  "Sistema Nacional de Investigación" (SNI) of CONACyT:
  1. Member of the National Research System, Mexico, Rank "Investigator, Level II", from 1st January 2013 to 31st December 2016.
  2. Member of the National Research System, Mexico, Rank "Investigator, Level I", from 1st January 2009 to 31st December 2012.
  3. Member of the National Research System, Mexico, Rank "Investigator, Level I", from 1st January 2005 to 31st December 2008.
  4. Member of the National Research System, Mexico, Rank "Candidate", from 1st of January 2002 to 31st December 2004.
"Perfil Deseable" of PROMEP-SEP:
  1. From 23th July 2013 to 22nd July 2016.
  2. From 31th July 2009 to 30th July 2012.
  3. From 15th November 2006 to 14th November 2009.
  4. With"Apoyo", from 11th December 2003 to 10th December 2006.
"Promoción" of UAM:
  1. Rank "Professor, Level C", from 10th December 2007.
  2. Rank "Professor, Level B", from 17th April 2006.
  3. Rank "Professor, Level A", from 24th May 2004.
"Beca de Apoyo a la Permanencia" of UAM:
  1. Rank "Professor, Level C", for 4 years, from 13th February 2012.
  2. Rank "Professor, Level C", for 3 years, from 2nd March 2009.
  3. Rank "Professor, Level B", for 2 years, from 5th March 2007.
  4. Rank "Professor, Level B", for 1 year, from 17th April 2006.
  5. Rank "Associate Professor, Level D", for 1 year, from 24th May 2004.
"Estímulo a la Docencia e Investigación" (EDI) of UAM:
  1. Level C, from 15th February 2010.
  2. Level A, from 2nd March 2009.
  3. Level B, from 19th May 2008.
  4. Level A, from 5th March 2007.
  5. Level B, from 17th April 2006.
"Estímulo a la Trayectoria Académica Sobresaliente" (ETAS) of UAM:
  1. Level 3, from 25th April 2011.
  2. Level 2, from 15th February 2010.
  3. Level 1, from 19th May 2008.

Research projects:

 
  1. Research project of Sabbatical Year Abroad, called as “Análisis de un modelos de regresión para series de tiempo de valores extremos” to carry out at the Rice University, US from 1st August 2011 to 31st July 2012. Financial support for a period of 12 months with the sum of 24,000 USD.
  2. Statistical techniques for longitudinal data. Project sponsored by the division of basic science and engineering of the UAM-I. Period: from 15th December 2005 onwards.
  3. Modeling dependence in survival data and bivariate data. Installation project funded by the CONACyT and the Universidad Autónoma Metropolitana. Period: 1st January 2002 to 31st December 2002.