Caio Lucidius Naberezny Azevedo

• Abstract

  Parametric and semi-parametric regression models represent two major areas in the modelingcontext, which have found applications in different areas. The aim of this project is to consider regression models in the presence of random effects,which are distributed under the family of scale mixture of skew-normal distributions (Branco and Dey 2001), that are effectively used in robust estimat…

  Parametric and semi-parametric regression models under the class of scale mixtures of normal distributions, AP.R
• 2019 International Meeting of Psychometric Society, AR.EXT
• 79th Annual Meeting of the Psychometric Society, AR.EXT

(Only some records are available in English at this moment)

• Abstract

  In this project we will develop two classes of regression models for continuous data. One for independent data and another for longitudinal data, making data modeling that presents asymmetry and/or heavy tails flexible. More specifically, we will consider the parametric and semi-parametric approaches using Generalized Estimation Equations (EEG) and Generalized Partial Additives Models (ML…

  Longitudinal data modelling based on centred skew scale mixture of distributions: parametric and semi-parametric approaches, BP.MS

• Abstract

  In this project we will develop two approaches, the first one involving extensions of the zero and/or one augmented beta, simplex and rectangular beta models considering semi-parametric structures to the respective response means, to analyze limited data. The advantage of this extension is that it will be possible to satisfactorily model linear and non-linear phenomena. In the second appr…

  Parametric and semi-parametric modelos for longitudinal limited response, BP.MS

• Abstract

  The present project aims to study the main one-dimensional and parametric Item Response Theory (IRT) unfolding models, providing an appropriate methodological review, discussing aspects such as interpretation, applicability and estimation and implementing them in the computational environment R, through frequentist/Bayesian marginal-profiled methods. As far as we are concerned, there are …

  Contributions to the study of the main Item Response Theory unfolding models with applications in psychology, BP.IC

(Only some records are available in English at this moment)

• Abstract

  This project aims to develop and implement diagnostic techniques for the studied models in the related doctoral FAPESP project (process No. 2013/26336-5). We will consider residual analysis, adapting some useful residuals considered in the literature, see (FARIAS; BRANCO et al., 2012) and (SANTOS, 2015), which were used for other regression models. In particular we focus on the quantile r…

  Asymmetric multidimensional Item response theory models: estimation and diagnostic methods under a Bayesian perspective, BE.EP.DR