Publicaciones y Reportes Técnicos

Publicaciones

1. Nieto-Barajas, L. E., Müller, P., Ji, Y., Lu, Y. and Mills, G. (2011). A time series DDP for functional proteomics profiles. Biometrics. A publicarse.

2. Nieto-Barajas, L. E. & Müller, P. (2011). Rubbery Polya Tree. Scandinavian Journal of Statistics. A publicarse.

3. 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.

4. Mena, R. H. & Nieto-Barajas, L. E. (2010). Exchangeable claim sizes in a compound Poisson type process. Applied Stochastic Models in Business and Industry 26, 737-757.

5. López-Lizarraga, S. & Nieto-Barajas, L. E. (2010). Segmentación binaria circular: Una técnica para detectar regiones dańadas del ADN. Actuarios Trabajando CONAC 2 (4), 94-110.

6. Yin, G. & Nieto-Barajas, L. E. (2009). Bayesian cure rate model accommodating multiplicative and additive covariates. Statistics and Its Interface. 2, 513-521.

7. Nieto-Barajas, L. E. & Prünster, I. (2009). A sensitivity analysis for Bayesian nonparametric density estimators. Statistica Sinica 19, 685-705.

8. de Alba, E. & Nieto-Barajas, L. E. (2008). Claims reserving: A correlated Bayesian model. Insurance: Mathematics and Economics 43, 368-376.

9. Müller, P. and Nieto-Barajas, L. E. (2008). Comment on the paper: The nested Dirichlet process by Rodriguez, Dunson and Gelfand. Journal of the American Statistical Association 103, 1146-1147.

10. Nieto-Barajas, L. E. & Yin, G. (2008). Bayesian semiparametric cure rate model with an unknown threshold. Scandinavian Journal of Statistics 35, 540-556.

11. Nieto-Barajas, L. E. (2008). A Markov gamma random field for modeling disease mapping data. Statistical Modelling 8, 97-114.

12. Nieto-Barajas & Walker, S. G. (2007). Gibbs and autoregressive Markov processes. Statistics and Probability Letters 77, 1479-1485.

13. Nieto-Barajas, L. E. & Walker, S. G. (2007). A Bayesian semi-parametric bivariate failure time model. Computational Statistics and Data Analysis 51, 6102-6113.

14. Mendoza, M. & Nieto-Barajas, L. E. (2006). Bayesian solvency analysis with autocorrelated observations. Applied Stochastic Models in Business and Industry 22, 169-180.

15. 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.

16. Nieto-Barajas, L. E., Prünster, I. & Walker, S. G. (2004). Normalized random measures driven by increasing additive processes. Annals of Statistics 32, 2343-2360.

17. Nieto-Barajas, L. E. & Walker, S. G. (2004). Bayesian nonparametric survival analysis via Lévy driven Markov processes. Statistica Sinica 14, 1127-1146.

18. Gutierrez-Peńa, E. & Nieto-Barajas, L. E. (2003). Bayesian nonparametric inference for mixed Poisson processes. Bayesian Statistics 7, J. M. Bernardo, et al. (Eds.), 163-179 (with discussion).

19. Nieto-Barajas, L. E. (2003). Discrete time Markov gamma processes and time dependent covariates in survival analysis. Bulletin of the International Statistical Institute 54th Session. Berlin. (CD-ROM).

20. Nieto-Barajas, L. E. & Walker, S. G. (2002). Markov beta and gamma processes for modelling hazard rates. Scandinavian Journal of Statistics 29, 413-424.

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Correo: lnieto@itam.mx
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Página principal | Curriculum Vitae | Publicaciones y Reportes Técnicos | Cursos | Ligas de interés

Reportes Técnicos

· Bekele, B. N., Nieto-Barajas, L. E. & Munsell, M. F. (2008). Estimating the distribution of breast cancer patients’ characteristics using a Markov Dirichlet Process. 

· Barrios, E., Nieto-Barajas, L. E. & Prünster, I. (2011). A study of normalized random measures mixture models.