Publications

• Danilo Alvares, Cristian Meza and Rolando De la Cruz. Bayesian inference for nonlinear mixed-effects location scale and interval-censoring cure-survival models: an application to pregnancy miscarriage. To appear in Statistical Methods in Medical Research, 2025. 

• Rolando de la Cruz, Marc Lavielle, Cristian Meza and Vicente Núñez-Antón. A joint analysis proposal of nonlinear longitudinal and time-to-event right-, interval-censored data for modeling pregnancy miscarriage. (2024) Computers in Biology and Medicine, 182, November 2024, 109186.

• Maritza Márquez, Cristian Meza, Dae-Jin Lee and Rolando de la Cruz. Classification in semiparametric nonlinear mixed models using P-Splines and the SAEM algorithm. (2023) Statistics in Medicine, 42(27), 4952-4971. 

• Lucas Vicuna, Esteban Barrientos, Tomas Norambuena, Danilo Alvares, Juan Cristobal Gana, Valeria Leiva-Yamaguchi, Cristian Meza, Jose L. Santos, Veronica Mericq, Ana Pereira and Susana Eyheramendy, New insights from GWAS on BMI-related growth traits in a longitudinal cohort of admixed children with Native American and European ancestry. (2023) iSicence, 26(2), 106091.

• Rolando de la Cruz, Cristian Meza, Nicolás Narria and Claudio Fuentes, A Bayesian Change Point Analysis of the USD/CLP Series in Chile from 2018 to 2020: Understanding the Impact of Social Protests and the COVID-19 Pandemic. (2022) Mathematics, 10(18), 3380.

• Rolando de la Cruz, Hugo Salinas, and Cristian Meza, Reliability Estimation for Stress-Strength Model Based on Unit-Half-Normal Distribution. (2022) Symmetry, 14(4), 837.

• Gabriel A. Caceres, Eric D. Feigelson, G. Jogesh Babu, Natalia Bahamonde, Alejandra Christen, Karine Bertin, Cristian Meza and Michel Curé, AutoRegressive Planet Search: Methodology  (2019) The Astronomical Journal, Volume 158 (2), 57.

• Gabriel A. Caceres, Eric D. Feigelson, G. Jogesh Babu, Natalia Bahamonde, Alejandra Christen, Karine Bertin, Cristian Meza and Michel Curé, AutoRegressive Planet Search: Application to the Kepler Mission (2019) The Astronomical Journal, Volume 158 (2), 58.

• Meili Baragatti, Karine Bertin, Cristian Meza and Emilie Lebarbier, A Bayesian approach for the segmentation of series with a functional effect. (2019) Statistical Modelling, Volume 19 (2), 194-220.

• Rolando de la Cruz, Claudio Fuentes, Cristian Meza and Vicente Núñez-Antón, Error–Rate Estimation in Discriminant Analysis of Non–Linear Longitudinal Data: A Comparison of Resampling Methods. (2018) Statistical Methods in Medical Research, Volume 27 (4), pp. 1153-1167.

• Rolando de la Cruz, Claudio Fuentes, Cristian Meza, Dae-Jin Lee and Ana Arribas-Gil, Predicting pregnancy outcomes using longitudinal information: a penalized splines mixed-effects model approach. (2017) Statistics in Medicine, Volume 36 (13), pp. 2120-2134.

• Karine Bertin, Xavier Collilieux Emilie Lebarbier and  Cristian Meza, Semi-parametric segmentation of multiple series using a DP-Lasso strategy. (2017) Journal of Statistical Computation and Simulation, Volume 87, pp. 1255-1268.

• Rolando de la Cruz, Cristian Meza, Ana Arribas-Gil and Raymond Carroll, Bayesian Regression Analysis of Data with Random Effects Covariates from Nonlinear Longitudinal Measurements. (2016) Journal of Multivariate Analysis, Volume 143, pp. 94-106 .

• Ana Arribas-Gil, Rolando de la Cruz, Emilie Lebarbier and Cristian Meza, Classification of longitudinal data through a semiparametric mixed-effects model based on Lasso-type estimators. (2015) Biometrics, Volume 71 (2), pp. 333-343 .

• Ana Arribas-Gil, Karine Bertin, Cristian Meza and Vincent Rivoirard, Lasso-type estimators for Semiparametric Nonlinear Mixed-Effects Models Estimation. (2014) Statistics and Computing, vol. 24 (3), pp. 443-460.

• Cristian Meza, Felipe Osorio and Rolando De la Cruz, Estimation in nonlinear mixed-effects models using heavy-tailed distributions. (2012) Statistics and Computing, vol. 22 (1), pp. 121-139.

• Cristian Meza, Florence Jaffrézic and Jean-Louis Foulley, Estimation in the probit normal model for binary outcomes using the SAEM algorithm. (2009) Computational Statistics and Data Analysis, vol. 53 (4), pp. 1350-1360.

• Cristian Meza, Florence Jaffrézic and Jean-Louis Foulley, REML estimation of variance parameters in nonlinear mixed effects models using SAEM algorithm. (2007) The Biometrical Journal, vol. 49 (6), pp. 876-888.

• Marc Lavielle and Cristian Meza, A parameter expansion version of the SAEM algorithm. (2007) Statistics and Computing, vol. 17 (2), pp. 121-130.

• Florence Jaffrézic, Cristian Meza, Marc Lavielle and Jean-Louis Foulley, Genetic analysis of growth curves using the SAEM algorithm. (2006) Genetics Selection Evolution, vol. 38, pp. 583-600.

Submitted and working papers

• Jhon Barrera, Cristian Meza and Ana Arribas-Gil. "A stochastic method to estimate a zero-inflated two part mixed model for human microbiome data". Under review. [arXiv]

]Papers for conferences

• Rolando De la Cruz, Susana Eyheramendy, Cristian Meza and Felipe Osorio. “Exact estimation procedures in a spatial mixed-effects probit model with binary outcomes“. 2010 Joint Statistical Meetings Proceedings, Section on Statistical Computing, American Statistical Association. pp. 3629-3638, August 2010.

• Cristian Meza, Florence Jaffrézic and Jean-Louis Foulley. “Estimation dans un modèle mixte probit normal pour données binaires en utilisant l’algorithme SAEM et ses dérivées“. Actes de conférence des XXXVII Journées de Statistique de la SFDS, June 2007.

• Cristian Meza. “Extensions de l”algorithme SAEM : version PX et estimation REML“. Actes de conférence des XXXIX Journées de Statistique de la SFDS, June 2005.

PhD Thesis

• Cristian Meza. “Extensions et applications de l’algorithme SAEM pour les modèles mixtes”. PhD in Science, Speciality Mathematics, Université Paris-Sud, Faculté des sciences d’Orsay.