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
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
Jean Sabino Magalhães Diniz Robust estimation of Markov-Switching GARCH and DCC models Statistics 08/10/2022
Victor Freguglia Souza Bayesian selection of dependence structures for Markovian processes Statistics 05/06/2022
Eduardo Gabriel Pinheiro Robust estimation of high-dimensional cDCC model Statistics 04/29/2022
Andreson Almeida Azevedo The Birnbaum-Saunders distribution based on the asymmetric Statistics 03/28/2022
Alexandre Reggiolli Teixeira A comparison of abstract and topological theories for random Statistics 03/08/2022
Christian Eduardo Galarza Morales On Moments of doubly truncated multivariate distributions Statistics 03/23/2020
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Secretaria de Pós-Graduação
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