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
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
David Esteban Sanchez Vega A multivariate distribution based on the mixture of the Generalized Inverse Gaussian distributions as mixing distribution Statistics 12/11/2023
Johsac Isbac Gomez Sanchez Metric based on the efficient determination criterion, for the estimation of the partition Markovian model Statistics 10/24/2023
Pedro Henrique Toledo de Oliveira Sousa A Bayesian approach to functional data representation and variable selection in functional regression Statistics 03/20/2023
Keyliane Travassos Almeida da Silva Diagnostic analysis in scale mixture of skew-normal linear mixed models Statistics 03/01/2023
Matheus Oliveira de Castro Robust quantile regression models for limited responses using finite mixtures Statistics 02/28/2023
Rafael Antonio Ricardi Branco Estimation in quantile regression via smoothing Statistics 01/20/2023
David Henriques da Matta Spatio-temporal regression model with block structure with repeated measures : a Bayesian approach Statistics 11/28/2022
Nury Bibiana Riaño Gaona Conjoint modeling of longitudinal and survival data with competitive risk and discrete time: Application in student evasion data Statistics 09/14/2022
Lucas Sousa Santos Multiple phase transition for the contact process on highly non-amenable graphs Statistics 08/30/2022
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Secretaria de Pós-Graduação
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