Larissa Avila Matos

• 2022 ICSA Applied Statistics Symposium, AR.EXT
• 3rd International Conference on Econometrics and Statistics (EcoSta 2019), AR.EXT

• Abstract

  Semiparametric regression refers to the flexible incorporation of nonlinear functional relationships into regression analysis. Any application area that uses regression analysis may benefit from semiparametric regression. In this context, the main goal is to expand the censored regression models considering, on the one hand, that the response variable is linearly dependent on some variabl…

  Semiparametric mixed effects models with multiple censored response using scale mixtures of normal distributions, AV.EXT

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

• Abstract

  This project will present a new approach for estimation and influence diagnostics in nonlinear mixed-effects models with multiple censored responses using scale mixtures of normal distributions from a classical and Bayesian perspective. In the framework of linear and non-linear mixed-effects models withmultiple censored responses (MLMEC/MNLMEC), the random effects and residual errors are …

  Nonlinear mixed-effects models with multiple censored responses using heavy-tailed distributions, BP.PD

• Abstract

  The goal of this project is to present a classical and Bayesian study in spatialmodels for censored data using more robust distributions than the normal andskew-normal distribution, i.e., using the scale mixture of skew-normal class of distributions. Furthermore, it will be present classical and Bayesian diagnostic studies based in local influence methods (Cook, 1986) and the q-divergence…

  Robust Estimation in Spatial Models for Censored Data, BP.DR

• Abstract

  The goal of this project is to study relevant aspects of factor analysis models under a classical and Bayesian paradigm using much more robust distributions than the skew-normal one, that is, under the class of scale mixtures of skew-normal distributions (Branco and Dey, 200; Lachos Ghosh and Arellano-Valle, 2001). In addition, Bayesian diagnostics studies will be considered based on the …

  APPLICATIONS OF THE SCALE MIXTURES OF SKEW-NORMAL DISTRIBUTIONS IN FACTOR ANALYSIS MODELS, BP.DR

• Abstract

  Computation of the product moments of the truncated multivariate Student-t (TMVT) distribution under the double truncation have been presented by Lachos et al. (2017) (see also, Ho et al. (2012)). Following Lachos et al. (2017), this paper develops recurrence relations for integrals that involve the density of multivariate scale mixtures of skew-normal (SMSN) distributions. These recursio…

  Moments of doubly truncated multivariate distributions, BE.EP.DR

• Abstract

  This project will present a new approach for estimation in mixed-effects models with censored re- sponse using scale mixtures of normal distributions. In the framework of linear and non-linear mixed- effects censored (LMEC/NLMEC) models, the random effects and residual errors are routinely assumed to have a normal distribution, mainly for mathematical convenience. However, this method has…

  Estimation in mixed-effects models with censored response using scale mixtures of normal distributions, BE.EP.DR