CV Lattes
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Universidade Estadual de Campinas (UNICAMP). Instituto de Matemática, Estatística e Computação Científica (IMECC) (Institutional affiliation from the last research proposal) Birthplace: Peru
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). Postdoctoral fellowship at the University of Paris-Ouest-Nanterre-La Défense, MODAL'X - PARIS, France (2025).Currently leader of the Research Group "Statistical modeling for complex data" and assistant professor, Level IV, at the Federal University of Pernambuco (Since November, 2015), working mainly on the following topics: censored regression model, scale mixtures of skew-normal distributions, bayesian analysis, scale mixtures of normal distributions and nonlinear regression models.ORCID iD: https://orcid.org/0000-0002-4510-639X (Source: Lattes Curriculum)
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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 of…
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