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Publicaciones

Artículos

  1. Gutiérrez-Peña, E. (1992). Expected logarithmic divergence for exponential families. En Bayesian Statistics 4 (J.M. Bernardo, J.O. Berger, A.P. Dawid y A.F.M. Smith, eds.) Oxford: University Press, pp. 669-674.
  2. Gutiérrez-Peña, E. y Smith, A.F.M. (1995). Conjugate parametrizations for natural exponential families. Journal of the American Statistical Association 90, 1347-1356.
  3. Gutiérrez-Peña, E. (1997). Moments for the canonical parameter of an exponential family under a conjugate distribution. Biometrika 84, 727-732.
  4. Gutiérrez-Peña, E. (1997). A Bayesian predictive semiparametric approach to variable selection and model comparison in regression. Bulletin of the International Statistical Institute, Tome LVII. (Proceedings of the 51st Session of the ISI, Invited Papers, Book 1.) Istanbul, Turkey, pp. 17-29.
  5. Gutiérrez-Peña, E. y Smith, A.F.M. (1997). Exponential and Bayesian conjugate families: Review and extensions (con discusión). TEST 6, 1-90.
  6. Efstathiou, M., Gutiérrez-Peña, E. y Smith, A.F.M. (1998). Laplace approximations for natural exponential families with cuts. Scandinavian Journal of Statistics 25, 77-92.
  7. Gutiérrez-Peña, E. y Smith, A.F.M. (1998). Aspects of smoothing and model adequacy in generalized regression. Journal of Statistical Planning and Inference 67, 273-286.
  8. Gutiérrez-Peña, E. y Mendoza, M. (1999). A note on Bayesian estimates for exponential families. Revista de la Real Academia de Ciencias Exactas, Físicas y Naturales (España) 93, 351-356.
  9. Mendoza, M. y Gutiérrez-Peña, E. (1999). Bayesian inference for the ratio of the means of two normal populations with unequal variances. Biometrical Journal 41, 133-147.
  10. Walker, S.G. y Gutiérrez-Peña, E. (1999). Robustifying Bayesian procedures (con discusión). En Bayesian Statistics 6 (J.M. Bernardo, J.O. Berger, A.P. Dawid y A.F.M. Smith, eds.) Oxford: University Press, pp. 685-710.
  11. Gutiérrez-Peña, E. y von Eye, A. (2000). A Bayesian approach to Configural Frequency Analysis. Journal of Mathematical Sociology 24, 151-174.
  12. Mendoza, M. y Gutiérrez-Peña, E. (2000). Bayesian conjugate analysis of the Galton-Watson process. TEST 9, 149-171.
  13. von Eye, A., Schuster, C. y Gutiérrez-Peña, E. (2000). Configural Frequency Analysis under retrospective and prospective sampling schemes: Frequentist and Bayesian approaches. Psychologische Beiträge 42, 428-447.
  14. Gutiérrez-Peña, E. y Walker, S.G. (2001). A Bayesian predictive approach to model selection. Journal of Statistical Planning and Inference 93, 259-276.
  15. Walker, S.G., Gutiérrez-Peña, E. y Muliere, P. (2001). A decision theoretic approach to model averaging. The Statistician 50, 31-39.
  16. Gutiérrez-Peña, E. y Rueda, R. (2003). Reference priors for exponential families. Journal of Statistical Planning and Inference 110, 35-54.
  17. Gutiérrez-Peña, E. y Nieto-Barajas, L.E. (2003). Bayesian nonparametric inference for mixed Poisson processes (con discusión). En Bayesian Statistics 7 (J.M. Bernardo, M.J. Bayarri, J.O. Berger, A.P. Dawid, D. Heckerman, A.F.M Smith y M. West, eds.) Oxford: University Press, pp. 163-179.
  18. Contreras-Cristán, A., Gutiérrez-Peña, E. y O'Reilly, F. (2003). Inference using latent variables for mixtures of distributions for censored data with partial identification. Communications in Statistics (Theory and Methods) 32, 749-774.
  19. Consonni, G., Veronese, P. y Gutiérrez-Peña, E. (2004). Order-invariant group reference priors for natural exponential families having a simple quadratic variance function. Journal of Multivariate Analysis 88, 335-364.
  20. Gutiérrez-Peña, E. y Muliere, P. (2004). Conjugate priors represent strong pre-experimental assumptions. Scandinavian Journal of Statistics 31, 235-246.
  21. Gutiérrez-Peña, E. (2004). Bayesian classification methods. Psychology Science 46, 52-64.
  22. von Eye, A. y Gutiérrez-Peña, E. (2004). Configural Frequency Analysis: the search for extreme cells. Journal of Applied Statistics 31, 981-997.
  23. Romero-Hidalgo, S., Rodrigues, E.R., Gutiérrez-Peña, E., Riba, L. y Tusié-Luna M.T. (2005). GeneHunter versus SimWalk2 in the context of an extended kindred and a qualitative trait locus. Genetica 123, 235-244.
  24. Nuñez-Antonio, G. y Gutiérrez-Peña, E. (2005). A Bayesian analysis of directional data using the projected normal distribution. Journal of Applied Statistics 32, 995-1001.
  25. Gutiérrez-Peña, E. y Walker, S.G. (2005). Statistical decision problems and Bayesian nonparametric methods. International Statistical Review 73, 309-330.
  26. Nuñez-Antonio, G. y Gutiérrez-Peña, E. (2005). A Bayesian analysis of directional data using the von Mises-Fisher distribution. Communications in Statistics (Simulation and Computation) 34, 989-999.
  27. von Eye, A. y Gutiérrez-Peña, E. (2005). Configural Frequency Analysis of large sparse cross-classifications. Psychology Science 47, 356-376.
  28. Gutiérrez-Peña, E. (2005). Bayesian methods for categorical data. En Encyclopedia of Statistics in Behavioral Science (B.S. Everitt y D.C. Howell, eds.), Vol. 1. Chichester: Wiley, pp. 139-146.
  29. Contreras-Cristán, A., Gutiérrez-Peña, E. y Walker, S.G. (2006). A note on Whittle's likelihood. Communications in Statistics (Simulation and Computation) 35, 857-875.
  30. Walker, S.G. y Gutiérrez-Peña, E. (2007). Bayesian parametric inference in a nonparametric framework. TEST 16, 188-197.
  31. Consonni, G., Gutiérrez-Peña, E. y Veronese, P. (2008). Compatible priors for the Hardy-Weinberg equilibrium model. TEST 17, 585-605.
  32. Gutiérrez-Peña, E., Rueda, R. y Contreras-Cristán, A., (2009). Objective parametric model selection procedures from a Bayesian nonparametric perspective. Computational Statistics and Data Analysis 53, 4255-4265.
  33. Mendoza, M. y Gutiérrez-Peña, E. (2010). Decision Theory. En International Encyclopedia of Education, 3a. Ed. (E. Baker, P. Peterson y B. McGaw, eds.) Elsevier.
  34. Mendoza, M. y Gutiérrez-Peña E. (2010). Some thoughts on the Bayesian robustness of location-scale models. Chilean Journal of Statistics 1, 35-58.
  35. Nuñez-Antonio, G., Gutiérrez-Peña, E. y Escarela, G. (2011). A Bayesian regression model for circular data based on the projected normal distribution. Statistical Modelling 11, 185-201.
  36. Walker, S.G. y Gutiérrez-Peña, E. (2011). A decision-theoretical view of default priors. Theory and Decision 70, 1-11.
  37. Gutiérrez-Peña, E. (2011). Generalización de distribuciones de probabilidad usando variables latentes. Aportaciones Matemáticas (Comunicaciones) 44, 171-178.
  38. Gutiérrez-Peña, E. (2012). Bayesian predictive Configural Frequency Analysis. Psychological Test and Assessment Modeling 54, 285-292.
  39. Gutiérrez-Peña, E. y Mendoza, M. (2013). Proper and non-informative conjugate priors for exponential family models. En Bayesian Theory and Applications (P. Damien, P. Dellaportas, N.G. Polson y D.A. Stephens, eds.) Oxford: University Press, pp. 395-408.
  40. Nuñez-Antonio, G. y Gutiérrez-Peña, E. (2014). A Bayesian model for longitudinal circular data based on the projected normal distribution. Computational Statistics and Data Analysis 71, 506-519.
  41. Gutiérrez, L., Gutiérrez-Peña, E. y Mena, R. (2014). Bayesian nonparametric classification for spectroscopy data. Computational Statistics and Data Analysis 78, 56-68.
  42. Mendoza, M., Contreras-Cristán, A. y Gutiérrez-Peña, E. (2015). Inferencia Bayesiana y tablas de mortalidad en México. Realidad, Datos y Espacio: Revista Internacional de Estadística y Geografía. INEGI. Vol. 6, 4-17.
  43. Gutiérrez-Peña, E. y Mendoza, M. (2017). Bayesian methods for categorical data. En Wiley StatsRef: Statistics Reference Online. DOI: 10.1002/9781118445112.stat06134.pub2
  44. Contreras-Cristán, A., Gutiérrez-Peña, E. y Walker, S.G. (2017). On the asymptotic power of a goodness-of-fit test based on a cumulative Kullback-Leibler discrepancy. Statistics and Probability Letters 120, 118-125.
  45. Nuñez-Antonio, G., Mendoza, M., Contreras-Cristán, A., Gutiérrez-Peña, E. y Mendoza, E. (2018). Bayesian nonparametric inference for the overlap of daily animal activity patterns. Environmental and Ecological Statistics 25, 471-494.
  46. Campirán-García, E. y Gutiérrez-Peña, E. (2019). Nonparametric product partition models for multiple change-points analysis. Communications in Statistics (Simulation and Computation) 48, 1922-1947.
  47. Gutiérrez, L., Gutiérrez-Peña, E. y Mena, R. (2019). A Bayesian approach to statistical shape analysis via the projected normal distribution. Bayesian Analysis 14, 427-447.
  48. González-Barrios, J.M., Gutiérrez-Peña, E. y Rueda, R. (2019). A short note on the dependence structure of random vectors. Statistics and Probability Letters 146, 200-205.
  49. Gutiérrez-Peña, E. y Walker, S.G. (2019). An efficient method to determine the degree of overlap of two multivariate distributions. En Selected Contributions on Statistics and Data Science in Latin America. FNE 2018. (I. Antoniano-Villalobos, R. Mena, M. Mendoza, L. Naranjo y L. Nieto-Barajas, eds.) Springer Proceedings in Mathematics & Statistics, Vol. 301. Springer, pp. 59-68.
  50. Mendoza, M., Contreras-Cristán, A y Gutiérrez-Peña, E. (2021). Bayesian analysis of finite populations under simple random sampling. Entropy 2021, 23, 318.
  51. Ariza-Hernandez, F.J. y Gutiérrez-Peña, E. (2021). Bayesian analysis of an item response model with an AEP-based link function. Chilean Journal of Statistics 12, 103-122.
  52. Farrera, A., Villanueva, M. y Gutiérrez-Peña, E.(2021). La toma de decisiones en el proceso de identificación humana. Análisis por medios digitales y biométricos. IDENTIFICACIONhumana.mx.
  53. Gutiérrez-Peña, E. y Mendoza, M. (2021). Conjugate predictive distributions and generalized entropies. En Advances in Probability and Mathematical Statistics. (D. Hernández-Hernández, F. Leonardi, R.H. Mena, J.C. Pardo-Millán, eds.). Progress in Probability 79. Springer, pp. 93-102.
  54. González-Barrios, J.M., Gutiérrez-Peña, E., Nieves, J.D. y Rueda, R. (2021). A characterization of multivariate independence using copulas. Aceptado para su publicación en Communications in Statistics (Theory and Methods).
  55. Nieto-Barajas, L.E. y Gutiérrez-Peña, E. (2022). General dependence structures for some models based on exponential families with quadratic variance functions. Aceptado para su publicación en TEST.

Reportes Técnicos

  1. Gutiérrez-Peña, E. (1997). A Note on modal filtering for conditionally Gaussian dynamic nonlinear models.
  2. Gutiérrez-Peña, E. y González-Barrios, J.M. (1997). A simple convergence diagnostic for Markov chain Monte Carlo.
  3. Mendoza, M., Madrigal, A.M. y Gutiérrez-Peña, E. (1999). Predictive mortality graduation and the value-at-risk: A Bayesian approach.

Notas de Clase

  1. Gutiérrez-Peña, E. (1997). Métodos Computacionales en la Inferencia Bayesiana.   Serie Monografías, Vol. 6, No. 15. IIMAS, UNAM.
  2. Gutiérrez-Peña, E. (1998). Análisis Bayesiano de Modelos Jerárquicos Lineales.   Serie Monografías, Vol. 7, No. 16. IIMAS, UNAM.

Labor Editorial

  1. de la Fuente, M.L., Gutiérrez-Peña, E. y Olguín, J. (eds.)
    Memoria del X Foro Nacional de Estadística y II Congreso Iberoamericano de Estadística.
    Aguascalientes: INEGI-AME, 1996.
  2. Gutiérrez-Peña, E., Ruiz-Velasco, S. y Trejo, B. (eds.)
    Memoria del XI Foro Nacional de Estadística.
    Aguascalientes: INEGI-AME, 1997.
  3. Trejo, B., Nájera, E. y Gutiérrez-Peña, E. (eds.)
    Memoria del XXVI Foro Nacional de Estadística.
    Aguascalientes: INEGI-AME, 2012.