- Research Grants
bachelor's at Estadística from Universidad Nacional Mayor de San Marcos (2000), master's at Probability and Statistics from Universidade Estadual de Campinas (2010) and doctorate at Statistics from Universidade de São Paulo (2014). , acting on the following subjects: censored regression model, em algorithm, scale mixtures of normal distributions, scale mixtures of skew-normal distributions and nonlinear regression models. ORCID iD: https://orcid.org/0000-0002-4510-639X (Source: Lattes Curriculum)
In this project we present an inferential study of censored measurement error-in-variables models under the class of scale mixtures of normal distributions, from a classical and Bayesian perspective. We present an interesting EM algorithm for maximum likelihood Estimation, as well as, the Gibbs Sampling to proceed with Bayesian inference. The proposed algorithms are implemented in the R...
In recent years, the censored regression models, models with errors in variables, time series data or analysis of heavy tailed data can be signicantly improved and/or validated with thetechniques based on resampling. Thus, in each category of the modeling problems a fundamentalquestion is to be able to better study the nite-sample distributions of the introducedestimators. The emphasis ...
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
|Data from Web of Science|
(References retrieved automatically from State of São Paulo Research Institutions)
GARAY, Aldo William Medina. Modelos não lineares sob a classe de distribuições misturas da escala skew-normal. Dissertação (Mestrado) - Instituto de Matemática, Estatística e Computação Científica. Universidade Estadual de Campinas (UNICAMP). (08/02159-9)