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
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
Fernanda Lang Schumacher Robust linear mixed models for longitudinal data using skewed and heavy-tailed distributions Statistics 10/01/2021
Gustavo Henrique Tasca Partition Markov models and their generalizations Statistics 09/09/2021
Marcos Tadeu Andrade Cordeiro Metric for multiple stochastic processes Statistics 05/24/2021
Jose Alejandro Ordoñez Cuastumal On default priors for regression analysis Statistics 04/26/2021
André Felipe Berdusco Menezes Statistical methods for SCRNA-seq data modeling Statistics 04/15/2021
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