Dissertations and Theses: Statistics Program

Below you will find the dissertations and theses of the Statistics Graduate Program produced and defended on IMECC starting on year 2000. You can filter the output by program, year, and level.

Student Title Program Date
Rafael Antonio Ricardi Branco Estimation in quantile regression via smoothing Statistics 01/20/2023
Matheus Oliveira de Castro Robust quantile regression models for limited responses using finite mixtures Statistics 02/28/2023
Keyliane Travassos Almeida da Silva Diagnostic analysis in scale mixture of skew-normal linear mixed models Statistics 03/01/2023
Pedro Henrique Toledo de Oliveira Sousa A Bayesian approach to functional data representation and variable selection in functional regression Statistics 03/20/2023
Johsac Isbac Gomez Sanchez Metric based on the efficient determination criterion, for the estimation of the partition Markovian model Statistics 10/24/2023
David Esteban Sanchez Vega A multivariate distribution based on the mixture of the Generalized Inverse Gaussian distributions as mixing distribution Statistics 12/11/2023
Danielle Aparecida de Fátima Carvalho Analysis of longitudinal data relating to the academic performance of Unicamp students considering asymmetric distributions and mixed effects models of the GAMLSS family Statistics 02/28/2024
Marília Gabriela Rocha Modeling Sequential Data from Multiple Sources using Variable Length Markov Chains and Exogenous Covariates Statistics 03/05/2024
Vítor Macêdo Rocha Influence diagnostics in linear mixed-effects models with censored data using the skew-normal distribution Statistics 03/15/2024
Letícia Bettine Infante An extension of the inverse gaussian regression model Statistics 04/03/2024
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Secretaria de Pós-Graduação
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