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Luis Mauricio Castro Cepero

Profesor Asociado

Pontificia Universidad Católica de Chile

Santiago, Chile

LONGITUDINAL DATA; BAYESIAN PARAMETRIC AND NONPARAMETRIC METHODS; BIOSTATISTICS; Skew-elliptical distributions; Bayesian analyis; Distribution theory/Identifiability

Ingeniería Estadística e Informática, Universidad Nacional Agraria La Molina. Peru, 2000
Doctor en Estadística, PONTIFICIA UNIVERSIDAD CATOLICA DE CHILE. Chile, 2008

Profesor Asociado Full Time

UNIVERSIDAD DE CONCEPCION

Facultad de Ciencias Físicas y Matemáticas

Concepción, Chile

2008 - 2017
Profesor Asociado Full Time

PONTIFICIA UNIVERSIDAD CATOLICA DE CHILE

Facultad de Matemáticas

Santiago, Chile

2017 - At present

Director de Investigación de Mercados Full Time

Arellano, Investigación de Marketing S.A.

Lima, Peru

1998 - 2000
Analista de Investigación de Mercados Full Time

Ipsos APOYO Opinión y Mercado S.A

Lima, Peru

2000 - 2002
Asistente de Cálculos Actuariales Full Time

Oficina de Normalización Previsional

Lima, Peru

2001 - 2002
Coordinador de Investigación de Mercados Full Time

Empresa Editora El Comercio S.A.

Lima, Chile

2002 - 2004

Supervision of the following Ph.D. students: Larissa Matos (May 2016, Statistics) at Universidade Estadual de Campinas (Co-advisor); Diego Morales (Expected 2021, Statistics) at Pontificia Universidad Católica de Chile (Advisor); Angélica Dominguez (Expected 2021, Statistics) at Pontificia Universidad Católica de Chile (Advisor).

Supervision of the following M.Sc. students: Omar Chocotea (April 2017, Statistics) at Universidad del Bío-Bío; Manuel Poblete (December 2018, Statistics) at Pontificia Universidad Católica de Chile; Carla Salinas (December 2018, Statistics) at Pontificia Universidad Católica de Chile.

Supervision of the following B.Sc. students: Andrea Fernández (2018, Statistics), Matías Baeza (2017, Statistics); Karen Araneda (2017, Statistics); Marjorie Troncoso (2016, Statistics); María José Medina (2016, Statistics); Marco Ñanculeo (2011, Statistics); Inés Varas (2011, Statistics) at Universidad de Concepción.

Asignación Académica

UNIVERSIDAD DE CONCEPCION

Chile, 2013

Distinción otorgada por productividad científica en la Universidad de Concepción
Pilar Iglesias Travel Award from International Society for Bayesian Analysis

ISBA

Estados Unidos, 2008

Premio otorgado por el ISBA para asistir al ISBA World Meeting


Bayesian analysis of survival data with missing censoring indicators Castro, Luis Mauricio Article https://doi.org/10.1111/biom.13280 BIOMETRICS (2020)
Extending finite mixtures of t linear mixed-effects models with concomitant covariates Castro, LM Article SCOPUS Computational Statistics and Data Analysis (2020)
Mixtures of factor analyzers with covariates for modeling multiply censored dependent variables Castro, LM; Hsieh, W. Article STATISTICAL PAPERS (2020)
Flexible longitudinal linear mixed models for multiple censored responses data Lachos, VH; Matos, LA; Chen, MH Article ISI SCOPUS STATISTICS IN MEDICINE (2019)
Heavy-tailed longitudinal regression models for censored data: a robust parametric approach Matos, LA; Lachos, VH; Lin T.-I.; Castro, LM Article SCOPUS Test (2019)
Model-based clustering of censored data via mixtures of factor analyzers Wang, Wan-Lun; Castro, Luis M.; Lachos, Victor H.; Lin, Tsung-I Article ISI SCOPUS COMPUTATIONAL STATISTICS & DATA ANALYSIS (2019)
Bayesian inference on multivariate-t nonlinear mixed-effects models for multiple longitudinal data with missing values Castro, LM Article SCOPUS Statistics and its Interface (2018)
Bayesian semiparametric modeling for HIV longitudinal data with censoring and skewness Castro, LM; Bayes C.L. Article SCOPUS Statistical Methods in Medical Research (2018)
Influence diagnostics for censored regression models with autoregressive errors Schumacher, FL; Lachos, VH; Vilca-Labra, FE Article ISI SCOPUS AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS (2018)
Mixtures of restricted skew-t factor analyzers with common factor loadings Castro, LM Article SCOPUS Advances in Data Analysis and Classification (2018)
Multivariate measurement error models based on Student-t distribution under censored responses Castro, LM; Cabral C.R.B. Article ISI SCOPUS Statistics (2018)
Quantile regression for nonlinear mixed effects models: a likelihood based perspective Galarza C.E.; Castro, LM Article SCOPUS Statistical Papers (2018)
Automated learning of t factor analysis models with complete and incomplete data Lin T.-I. Article ISI SCOPUS JOURNAL OF MULTIVARIATE ANALYSIS (2017)
Censored mixed-effects models for irregularly observed repeated measures with applications to HIV viral loads Castro, LM Article ISI SCOPUS TEST (2016)
Influence assessment in censored mixed-effects models using the multivariate Student's-t distribution Matos, LA; Bandyopadhyay, D; Lachos, VH Article ISI SCOPUS Journal of Multivariate Analysis (2015)
Partially linear censored regression models using heavy-tailed distributions: A Bayesian approach Lachos, VH; Arellano-Valle, RB Article ISI STATISTICAL METHODOLOGY (2014)
Epsilon half-normal model: Properties and inference Castro, LM; Gómez, HW; Valenzuela,M. Article ISI SCOPUS Computational Statistics and Data Analysis (2012)
Skew-normal/independent linear mixed models for censored responses with applications to HIV viral loads Bandyopadhyay, D; Castro, LM Article ISI SCOPUS Biometrical Journal (2012)
Student-t censored regression model: properties and inference Castro, LM; Gonzalez-Farias G.; Munoz-Gajardo K.A. Article ISI SCOPUS Statistical Methods and Applications (2012)


Conditional predictive inference for beta regression model with autoregressive errors Ferreira, G; Navarrete J.P.; Castro, LM; de Castro, M ConferencePaper SCOPUS Springer Proceedings in Mathematics and Statistics (2015)
Bayesian Modeling of Censored Partial Linear Models using Scale-Mixtures of Normal Distributions Castro, LM; Ferreira G.P. ConferencePaper ISI SCOPUS AIP Conference Proceedings (2012)