• Modelos estocásticos de transmissão para análises genéticas de características epidemiológicas 

      Lima, Milena Nascimento (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 01/08/2023)
      Epidemics can significantly affect animal production and generate large economic impacts. Furthermore, current practices for treating and controlling infectious diseases in farmed animals do not always show the desired ...
    • A nonparametric bayesian approach for modeling and comparison of functional data 

      Moreira, Diogo Barboza (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 02/09/2022)
      The current advances of technology provides, among other things, several ways of collecting data, which enlarges the possibility of studying new phenomena. Researches focused on studying the functional relation between ...
    • Bayesian inference for term structure models 

      Martins, Thomas Correa e Silva (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 09/06/2022)
      We explore recent advances in Bayesian methods in order to estimate the Vasicek, CIR and dynamic Nelson-Siegel (DNS) models for term structure of interest rates. The models are specified as state space time series. The ...
    • Modelagem da volatilidade em séries temporais financeiras via modelos GARCH com abordagem bayesiana 

      Aquino Gutierrez, Karen Fiorella (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 18/07/2017)
      In the last decades volatility has become a very important concept in the financial area, being used to measure the risk of financial instruments. In this work, the focus of study is the modeling of volatility, that ...
    • Essays on bivariate option pricing via copula and heteroscedasticity models: a classical and bayesian approach 

      Lopes, Lucas Pereira (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 15/02/2019)
      This dissertation is composed of two main and independents essays, but complementary. In the first one, we discuss the option price under a bayesian perspective. This essay aims to price and analyze the fair price behavior ...
    • Regressão binária nas abordagens clássica e bayesiana 

      Fernandes, Amélia Milene Correia (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 16/12/2016)
      The objective of this work is to study the binary regression model under the frequentist and Bayesian approaches using the probit, logit, log-log complement, Box-Cox transformation and skewprobit as link functions. In the ...
    • A distribuição normal-valor extremo generalizado para a modelagem de dados limitados no intervalo unitário (0, 1) 

      Benites, Yury Rojas (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 28/06/2019)
      In this research a new statistical model is introduced to model data restricted in the continuous interval (0,1). The proposed model is constructed under a transformation of variables, in which the transformed variable is ...
    • Modelos alternativos da TRI para dados politômicos 

      Silva, Marcelo Andrade da (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 22/03/2019)
      The item response theory (IRT) models for polytomous data are frequently used in the analysis of data coming from the behavioral and social sciences. From a practical point of view, polytomous data are more informative ...
    • Alternative regression models to beta distribution under bayesian approach 

      Paz, Rosineide Fernando da (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 25/08/2017)
      The Beta distribution is a bounded domain distribution which has dominated the modeling the distribution of random variable that assume value between 0 and 1. Bounded domain distributions arising in various situations ...
    • Detecting influential observations in spatial models using Bregman divergence 

      Danilevicz, Ian Meneghel (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 26/02/2018)
      How to evaluate if a spatial model is well ajusted to a problem? How to know if it is the best model between the class of conditional autoregressive (CAR) and simultaneous autoregressive (SAR) models, including homoscedasticity ...
    • Estudo comparativo de métodos de estimação do modelo de resposta gradual para dados de burnout em enfermeiras 

      Maia, Juliana Marambaia (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 27/04/2020)
      The graded response model is an Item Response Theory (IRT) model where items admit a polytomous response widely known in the literature. The motivation for this study comes from a data set which belongs to the RN4CAST ...
    • Modelos de riscos competitivos no estudo de evasão discente 

      Tortorelli, Fabiana Arca Cruz (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 11/02/2020)
      Dropout is a problem faced by public and private universities. Therefore, the motivation of this work is to investigate the characteristics of students enrolled in a regular undergraduate course and verify which one is ...
    • Modelos de sobrevivência bivariados baseados na cópula PVF 

      Biondo, Thiago Ramos (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 13/03/2020)
      An alternative developed to study associations among multivariate survival times is the use of models based on copula functions. In this work, we use the survival model derived from the PVF copula, based on the Power Variance ...
    • Statistical inference for non-homogeneous Poisson process with competing risks: a repairable systems approach under power-law process 

      Almeida, Marco Pollo (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 30/08/2019)
      In this thesis, the main objective is to study certain aspects of modeling failure time data of repairable systems under a competing risks framework. We consider two different models and propose more efficient Bayesian ...
    • Método Zero-Variance para Monte Carlo Hamiltoniano aplicado a modelos GARCH univariados e multivariados 

      Paixão, Rafael Soares (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 13/05/2021)
      This PhD work develops, compares and applies Monte Carlo Markov Chains (MCMC) methods for parameter estimation in univariate and multivariate GJR-GARCH models. Specifically, the following problems are addressed: (i) ...
    • Análise bayesiana de dados funcionais com o uso de processo Gaussiano e metanálise: uma aplicação para a marcha humana 

      Milani, Amanda Buosi Gazon (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 02/05/2019)
      The term "functional data" arised to accommodate situations in which each observation can be naturally interpreted as a function. These situations have become increasingly common with the availability of measuring instruments ...
    • Bayesian variable selection using data driven reversible jump: an application to schizophrenia data 

      Montcho, Djidenou Hans Amos (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 17/12/2021)
      Symptom based diagnosis are known to be limited specially concerning complex disorders such as schizophrenia. Modern attempts in providing predictive risk for such disease, to assist existing diagnosis tools, integrate ...