Mobirise
Luis Enrique Nieto Barajas

Departamento Académico de Estadística
Profesor de tiempo completo y jefe de departamento

Areas de interés: análisis de grupos, análisis de supervivencia, bioestadística bayesiana, cópulas, cómputo bayesiano, estadística bayesiana no paramétrica, modelos dependientes (espaciales y temporales).

Contacto: lnieto at itam.mx

CV: español, inglés

Publicaciones

En revistas arbitradas 

51. Rodríguez, C.E., Nieto-Barajas, L.E. & Pérez-Pérez, C.S. (2022). Dealing with missing data under stratified sampling designs where strata are study domains. Journal of Applied Statistics. A publicarse. arXiv. pdf
50. Nieto-Barajas, L.E. & Gutiérrez-Peña, E. (2022). General dependence structures for some models based on exponential families with quadratic variance functions. TEST 31, 699-716. arXiv. pdf
49. Nieto-Barajas, L.E. (2022). Bayesian nonparametric dynamic hazard rates in evolutionary life tables. Lifetime Data Analysis 28, 319-334. arXiv. pdf.
48. Corradin, R., Nieto-Barajas, L.E. & Nipoti, B. (2022). Optimal stratification of survival data via Bayesian nonparametric mixtures. Econometrics and Statistics 22, 17-38. arXiv. pdf
47. Nieto-Barajas, L.E. (2022). Dependence on a collection of Poisson random variables. Statistical Methods and Applications 31, 21-39. arXiv. pdf
46. Nieto-Barajas, L.E. (2021). A class of dependent Dirichlet processes via latent multinomial processes. Statistics 55, 1169-1179. arXiv. pdf
45. Nieto-Barajas, L.E. & Núñez-Antonio, G. (2021). Projected Pólya tree. Journal of Computational and Graphical Statistics 30, 1197-1208. arXiv. pdf.
44. Arbel, J. Kon Kam King, G., Lijoi, A., Nieto-Barajas, L. & Prünster, I. (2021). BNPdensity: Bayesian nonparametric mixture modeling in R. Australian and New Zealand Journal of Statistics 63, 542-564. arXiv. pdf
43. Nieto-Barajas, L.E. & Pérez-Pérez, C.S. (2021). Descomposición factorial de los datos oficiales de COVID-19 en México. Motivos Matemáticos 4, (1). htmlpdf
42. Nieto-Barajas, L.E. & Targino, R. (2021). A gamma moving average process for modelling dependence across development years in run-off triangles. ASTIN Bulletin 51, 245-266. arXiv. pdf
41. Simonin, I., Brooks, M. & Nieto-Barajas, L.E. (2021). Portfolio recommendations to improve risk of default in microfinance. CIENCIA ergo sum 28 (1) marzo-junio. pdf
40. Nieto-Barajas, L.E. (2020). Bayesian regression with spatio-temporal varying coefficients. Biometrical Journal 62, 1245-1263. arXiv. pdf
39. Hoyos, R. & Nieto-Barajas, L.E. (2020). A bayesian semiparametric archimedean copula. Journal of Statistical Planning and Inference 206, 298-311. arXiv. pdf
38. Pérez-Pérez, C.S. & Nieto-Barajas, L.E. (2019). Análisis jerárquico de las emisiones de gases efecto invernadero en México. Reality, Data and Space, International Journal of Statistics and Geography 10 (3), 28-41. pdf
37. Carmona, C., Nieto-Barajas, L. & Canale, A. (2019). Model-based approach for household clustering with mixed scale variables. Advances in Data Analysis and Classification 13, 559-583. arXiv. pdf
36. Juárez-Cerrillo, S. F. & Nieto-Barajas, L. E. (2019). El conteo rápido de Veracruz 2016: Aspectos Estadísticos y de Logística. Revista Mexicana de Estudios Electorales 21, primer semester, México. pdf
35. Nieto-Barajas, L. E. (2018). Interpolation of paleoclimatology datasets. Atmosfera 31, 125-141. pdf
34. Nieto-Barajas, L. E. & Huerta, J. G. (2017). Spatio-temporal pareto modelling of heavy-tail data. Spatial Statistics 20, 92-109. pdf
33. Watson, J. Nieto-Barajas, L. and Holmes, C. (2017). Characterising variation of nonparametric random probability measures using the Kullback-Leibler divergence. Statistics 51, 558-571. arXiv. pdf
32. Filippi, S., Holmes, C. & Nieto-Barajas, L. E. (2016). Scalable Bayesian nonparametric measures for exploring pairwise dependence via Dirichlet process mixtures. Electronic Journal of Statistics 10, 3338-3354. pdf
31. Nieto-Barajas, L. E. & Quintana F. A. (2016). A Bayesian nonparametric dynamic AR model for multiple time series analysis. Journal of Time Series Analysis 37, 675-689. pdf
30. Nieto-Barajas, L. E., Ji, Y. & Baladandayuthapani, V. (2016). A semiparametric Bayesian model for comparing DNA copy numbers. Brazilian Journal of Probability and Statistics 30, 345-365. pdf
29. Mendoza, M. & Nieto-Barajas, L. E. (2016). Quick counts in the Mexican presidential elections: A Bayesian approach. Electoral Studies 43, 124-132. pdf
28. Nieto-Barajas, L. E. & Sinha, T. (2015). Bayesian interpolation of unequally spaced time series. Stochastic Environmental Research and Risk Assessment 29, 577-587. pdf
27. Nieto-Barajas, L. E. (2014). Bayesian semiparametric analysis of short- and long-term hazard ratios with covariates. Computational Statistics and Data Analysis 71, 477-490. pdf
26. Nieto-Barajas, L. E. & Contreras-Cristán, A. (2014). A Bayesian nonparametric approach for time series clustering. Bayesian Analysis 9, 147-170. pdf
25. Nieto-Barajas, L. E. (2013). Lévy-driven processes in Bayesian nonparametric inference. Bulletin of the Mexican Mathematical Association 19, 267-280. pdf
24. Barrios, E., Lijoi, A., Nieto-Barajas, L. E. & Prünster, I. (2013). Modeling with normalized random measure mixture models. Statistical Science 28, 313-334. pdf
23. Nieto-Barajas, L. E. (2013). Enfoque bayesiano en la estimación de área pequeña. Reality, Data and Space, International Journal of Statistics and Geography 4 (2), 52-63. pdf
22. Jara, A., Nieto-Barajas, L. E. & Quintana, F. (2013). A time series model for responses on the unit interval. Bayesian Analysis 8, 723-740. pdf
21. Nieto-Barajas, L. E. & Bandyopadhyay, D. (2013). A zero-inflated spatial gamma process model with applications to disease mapping. Journal of Agricultural, Biological and Environmental Statistics 18, 137-158. pdf
20. Bekele, B. N., Nieto-Barajas, L. E. & Munsell, M. F. (2012). Analysis of partially incomplete tables of breast cancer characteristics with an ordinal variable. Journal of Statistical Theory and Practice 6, 725-744. pdf
19. Nieto-Barajas, L. E., Müller, P., Ji, Y., Lu, Y. and Mills, G. (2012). A time series DDP for functional proteomics profiles. Biometrics 68, 859-868. pdf
18. Nieto-Barajas, L. E. & Müller, P. (2012). Rubbery Polya Tree. Scandinavian Journal of Statistics 39, 166-184. pdf
17. Baladandayuthapani, V., Ji, Y., Talluri, R., Nieto-Barajas, L. E. & Morris, J. S. (2010). Bayesian random segmentation models to identify shared copy number aberrations for array CGH data. Journal of the American Statistical Association 105, 1358-1375. pdf
16. Mena, R. & Nieto-Barajas, L. E. (2010). Exchangeable claim sizes in a compound Poisson type process. Applied Stochastic Models in Business and Industry 26, 737-757. pdf
15. López-Lizarraga, S. & Nieto-Barajas, L. E. (2010). Segmentación binaria circular: Una técnica para detectar regiones dañadas del ADN. Actuarios Trabajando, CONAC, año 2, num. 4, pp. 94-110. pdf
14. Yin, G. & Nieto-Barajas, L. E. (2009). Bayesian cure rate model accommodating multiplicative and additive covariates. Statistics and Its Interface 2, 513-521. pdf
13. Nieto-Barajas, L. E. & Prünster, I. (2009). A sensitivity analysis of Bayesian nonparametric density estimators. Statistica Sinica 19, 685-705. pdf
12. de Alba, E. & Nieto-Barajas, L. E. (2008). Claims reserving: A correlated Bayesian model. Insurance: Mathematics and Economics 43, 368-376. pdf
11. Müller, P. & Nieto-Barajas, L. E. (2008). Discussion on the paper: The nested Dirichlet process by Rodriguez, Dunson and Gelfand. Journal of the American Statistical Association 103, 1146-1147. pdf
10. Nieto-Barajas, L. E. & Yin, G. (2008). Bayesian semiparametric cure rate model with an unknown threshold. Scandinavian Journal of Statistics 35, 540-556. pdf
9. Nieto-Barajas, L. E. (2008). A Markov gamma random field for modeling disease mapping data. Statistical Modelling 8, 97-114. pdf
8. Nieto-Barajas, L. E. & Walker, S. G. (2007a). Gibbs and autoregressive Markov processes. Statistics and Probability Letters 77, 1479-1485. pdf
7. Nieto-Barajas, L. E. & Walker, S. G. (2007b). A Bayesian semi-parametric bivariate failure time model. Computational Statistics and Data Analysis 51, 6102-6113. pdf
6. Mendoza, M. & Nieto-Barajas, L. E. (2006). Bayesian solvency analysis with autocorrelated observations. Applied Stochastic Models in Business and Industry 22, 169-180. pdf
5. Nieto-Barajas, L. E. & Walker, S. G. (2005). A semi-parametric Bayesian analysis of survival data based on Lévy-driven processes. Lifetime Data Analysis 11, 529-543. pdf
4. Nieto-Barajas, L. E., Prünster, I. & Walker, S. G. (2004). Normalized random measures driven by increasing additive processes. Annals of Statistics 32, 2343-2360. arXiv
3. Nieto-Barajas, L. E. & Walker, S. G. (2004). Bayesian nonparametric survival analysis via Lévy driven Markov processes. Statistica Sinica 14, 1127-1146. pdf
2. Gutiérrez-Peña, E. & Nieto-Barajas, L. E. (2003). Bayesian nonparametric inference for mixed Poisson processes. Bayesian Statistics 7, J. M. Bernardo, et al. (Eds.), 163-179. pdf
1. Nieto-Barajas, L. E. & Walker, S. G. (2002). Markov beta and gamma processes for modelling hazard rates. Scandinavian Journal of Statistics 29, 413-424. pdf

Capítulos en libros

4. Nieto-Barajas, L. E. (2018). Evaluación de los efectos económicos del cambio climático en el sector salud en México. Proyecto 86487 “Plataforma de Colaboración sobre Cambio Climático y Crecimiento Verde entre Canadá y México”. PNUD México—INECC. 151 pp. pdf.
3. Nieto-Barajas, L. E. (2015). Markov processes in survival analysis. En Nonparametric Bayesian Inference in Biostatistics. R. Mitra and P. Müller (eds.) Springer. ISBN: 9783319195179. pdf
2. Nieto-Barajas, L. E. y de Alba, E. (2014). Bayesian regression models. En Predictive Modeling Applications in Actuarial Science. E.W. Frees, R.A. Derrig, and G. Meyers (eds.) Cambridge University Press, pp. 334-366. ISBN: 9781107029873. pdf
1. Nieto-Barajas, L. E. e Islas-Camargo, A. (2003). Estimación por intervalos. En Fundamentos de Probabilidad y Estadística. Jit Press: México. ISBN: 968778833X (1a edición) y 9687788453 (2a edición). pdf

Reportes técnicos

Nieto-Barajas, L.E. (2022). Leaf clustering using circular densities. arXiv
Nieto-Barajas, L.E. (2022). Multivariate and regression models for directional data based on projected Pólya trees. arXiv
Nieto-Barajas, L.E. & Hoyos-Argüelles, R. (2022). Generalised bayesian sample copula of order m. arXiv

Cursos

Licenciatura

Estadística I
Estadística II
Cálculo de Probabilidades I: T1 (R1), T2 (R2), T3 (R3), T4 (R4), T5 (R5)
Cálculo de Probabilidades II: T1, (R1), T2, (R2), T3, (R3)
Estadística Matemática: T1, T2, T3, T4, gof, TH, TG
Estadística Aplicada II: T1, T2, T3
Procesos Estocásticos I
Estadística Bayesiana (Opt): Tem, F
Análisis de Supervivencia (Opt): Tem

Maestría

Regresión Avanzada: Tem
Análisis Multivariado para Riesgos: Tem
Métodos Estadísticos Bayesianos: Tem

Entrevistas y seminarios

Entrevistas

Evaluación de los efectos económicos del cambio climático en el sector salud de México, Marzo 2022. Liga
Series de tiempo de paleoclima, Agosto 2017. Liga
Premio al mérito profesional 2011, Noviembre 2011. Liga

Seminarios

Characterizing variation of nonparametric RPM using the KL divergence, CMO-BIRS, November 2021. Liga
Modelling dependence within and across run-off triangles for claims reserving (around minute 22:30), OICA, April 2020. Liga
Scalable bayesian nonparametric measures for exploring pairwise dependence via Dirichlet Process Mixtures, ISBA World Meeting, June 2018. Liga
Two unrelated topics: Polya tres and copulas, CMO-BIRS, December 2017. Liga

Software

Paquetes R

BNPdensity: estimación de densidades con mezclas de NRMI
BGPhazard: análisis de supervivencia no paramétrica con modelos de Markov
BNPTSclust: agrupación de series de tiempo con modelos bayesianos no paramétricos
BNPMIXcluster: análisis de grupos con variables mixtas (continuas, discretas, ordinales y nominales)
PPTcirc: análisis de datos circulares con árboles de Pólya proyectados

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