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Luis Mauricio Castro Cepero

Profesor Asociado

Pontificia Universidad Católica de Chile

Santiago, Chile

Líneas de Investigación


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

Educación

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

Experiencia Académica

  •   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 - A la fecha

Experiencia Profesional

  •   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

Formación de Capital Humano


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.


Premios y Distinciones

  •   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


 

Article (31)

Bayesian analysis of survival data with missing censoring indicators
Extending finite mixtures of t linear mixed-effects models with concomitant covariates
Mixtures of factor analyzers with covariates for modeling multiply censored dependent variables
Flexible longitudinal linear mixed models for multiple censored responses data
Heavy-tailed longitudinal regression models for censored data: a robust parametric approach
Model-based clustering of censored data via mixtures of factor analyzers
Bayesian inference on multivariate-t nonlinear mixed-effects models for multiple longitudinal data with missing values
Bayesian semiparametric modeling for HIV longitudinal data with censoring and skewness
Influence diagnostics for censored regression models with autoregressive errors
Mixtures of restricted skew-t factor analyzers with common factor loadings
Multivariate measurement error models based on Student-t distribution under censored responses
Quantile regression for nonlinear mixed effects models: a likelihood based perspective
Automated learning of t factor analysis models with complete and incomplete data
Censored linear regression models for irregularly observed longitudinal data using the multivariate- t distribution.
Robust quantile regression using a generalized class of skewed distributions
Censored mixed-effects models for irregularly observed repeated measures with applications to HIV viral loads
Influence assessment in censored mixed-effects models using the multivariate Student's-t distribution
Influence assessment in censored mixed-effects models using the multivariate Student's-t distribution
Likelihood-based inference for Tobit confirmatory factor analysis using the multivariate Student-t distribution
Robust Joint Non-linear Mixed-Effects Models and Diagnostics for Censored HIV Viral Loads with CD4 Measurement Error
Partially linear censored regression models using heavy-tailed distributions: A Bayesian approach
A note on the parameterization of multivariate skewed-normal distributions
Bayesian inference in nonlinear mixed-effects models using normal independent distributions
Bayesian modeling of autoregressive partial linear models with scale mixture of normal errors
Change Point Detection in The Skew-Normal Model Parameters
Identification of the 1PL Model with Guessing Parameter=> Parametric and Semi-parametric Results
Epsilon half-normal model: Properties and inference
Skew-normal/independent linear mixed models for censored responses with applications to HIV viral loads
Student-t censored regression model: properties and inference
Properties and Inference on the Skew-Curved-Symmetric Family of Distributions
Bayesian Inference for Shape Mixtures of Skewed Distributions, with Application to Regression Analysis

ConferencePaper (2)

Conditional predictive inference for beta regression model with autoregressive errors
Bayesian Modeling of Censored Partial Linear Models using Scale-Mixtures of Normal Distributions

Proyecto (5)

Extending censored regression and mixed-effects models under non-standard assumptions for complex longitudinal data.
Modelamiento estadístico de datos longitudinales con aplicaciones al virus de inmunodeficiencia humana (VIH)
FLEXIBLE MODELING OF COMPLEX LONGITUDINAL DATA USING SKEW-ELLIPTICAL DISTRIBUTIONS
FLEXIBLE MODELING OF COMPLEX LONGITUDINAL DATA USING SKEW-ELLIPTICAL DISTRIBUTIONS
IDENTIFIABILITY OF SKEW ELLIPTICAL DISTRIBUTIONS ARISING FROM SELECTIONS AND THEIR APPLICATIONS IN STATISTICAL MODELLING

Review (1)

A Confidence Set Analysis for Observed Samples: A Fuzzy Set Approach
22
Luis Castro

Profesor Asociado

Departamento de Estadística

Pontificia Universidad Católica de Chile

Santiago, Chile

2
Reinaldo Arellano

Profesor Titular

Estadística

PONTIFICIA UNIVERSIDAD CATOLICA DE CHILE

Santiago, Chile

1
José González

Cordinador unidad de soporte estadístico para la investigación

Matemática y Estadística

UNIVERSIDAD DE PLAYA ANCHA

Valparaíso, Chile