Víctor Hugo Lachos Dávila

• Abstract

  In this project, we consider the linear regression model with censored responses. Econometrics is an area example where censored responses frequently occurs. Other examples can be found in survival analysis, where partially observed survival times can occur due to the ending of an assay. In the analysis of regression models with censored responses, in general, the normality assumption f…

  Flexible regression modeling for censored data, AV.BR
• 8th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2015), AR.EXT
• 60th World Statistics Congress - ISI2015, AO.R

(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

  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 …

  Measurement error-in-variables models for censored data using scale mixtures of skew-normal distributions, BP.PD

• Abstract

  Assuming that the observations follow a normal distribution is a common assumption for linear and nonlinear models for censored responses (see Barros et al., 2010; Sharma and Agarwal, 2003). However, this assumption is not realistic, obscuring important features of the variation that is present in the data. Arabmazar and Schmidt (1982) studied the consequences of the misspecification of t…

  Linear and non-linear models for censored data using scale mixtures of skew-normal distributions., BP.MS

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

• 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

• Abstract

  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…

  Regression and time series in modelling incomplete data, BE.EP.PD
• Linear and non-linear models with scale mixtures of skew-normal distributions, BE.PQ