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
Adi Pari Zapana Forecasting Volatility with Range-Based GARCH-type Models Statistics 08/28/2024
Alexandre Garcia Dias Bias correction of estimators in linear regression with categorical covariates with misclassification error Statistics 02/27/2025
Alexandre Reggiolli Teixeira A comparison of abstract and topological theories for random Statistics 03/08/2022
Amanda Merian Freitas Mendes Generalized Bayesian parametric quantile regression modelling Statistics 08/15/2024
Amanda Merian Freitas Mendes Generalized mixed Poisson models for overdispersed count data Statistics 02/21/2020
Ana Roberta dos Santos Silva Item response theory models for augmented continuous-limited responses Statistics 04/25/2019
André Felipe Berdusco Menezes Statistical methods for SCRNA-seq data modeling Statistics 04/15/2021
Andreson Almeida Azevedo The Birnbaum-Saunders distribution based on the asymmetric Statistics 03/28/2022
Áurea Fonseca Lopes Galindo Semi-parametric models for independent and longitudinal data with limited response Statistics 03/01/2021
Áurea Fonseca Lopes Galindo Finite mixture-based quantile regression models for bounded responses Statistics 12/09/2025
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Secretaria de Pós-Graduação
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