53. Nieto-Barajas, L.E. (2024). Multivariate and regression models for directional data based on projected Pólya trees.
Statistics and Computing 34, 25.
arXiv.
pdf.
52. Rodríguez, C.E., Nieto-Barajas, L.E. & Pérez-Pérez, C.S. (2024). Dealing with missing data under stratified sampling designs where strata are study domains.
Journal of Applied Statistics 51, 153-167.
arXiv.
pdf.
51. Barros-Sierra, D., Zepeda-Tello, R., Tamayo-Ortiz, M., Gutiérrez-Díaz, H.O., Pérez-Chávez V.A., Rosa-Parra J.A., Nieto-Barajas, L.E., Méndez-Aranda, M., Herrera-Montalvo, L.A., Hernández-Ávila, M. (2023). SARS-CoV-2 seroprevalence and respiratory disease disability claims in Mexico City Metropolitan Area.
Salud Publica de Mexico 65, 334-343.
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). html. pdf. 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-Argüelles, 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
5. Nieto-Barajas, L. E. (2025). Dependence Models via Hierarchical Structures. Cambridge University Press. To appear in May. pdf. 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. Pan, R., Nieto-Barajas, L.E. and Craiu, R. (2024). Bivariate temporal dependence via mixture of rotated copulas. arXiv.
