• GARMA models, a new perspective using Bayesian methods and transformations 

      Andrade, Breno Silveira de (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 16/12/2016)
      Generalized autoregressive moving average (GARMA) models are a class of models that was developed for extending the univariate Gaussian ARMA time series model to a flexible observation-driven model for non-Gaussian time ...
    • Família Kumaraswamy-G para analisar dados de sobrevivência de longa duração 

      Eudes, Amanda Morales (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, , 25/02/2015)
      In survival analysis is studied the time until the occurrence of a particular event of interest and in the literature, the most common approach is parametric, where the data follow a specific probability distribution. ...
    • Contribuições para modelos gerais de diagnóstico cognitivo 

      Fernandes, Renato da Silva (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 11/04/2024)
      Cognitive Diagnosis Models (CDMs) are discrete latent variable models that aim to determine an individual's pattern of possession of skills or attributes based on their test responses. This class includes the general ...
    • Modelos Skellam generalizados 

      Gandolfi, Marina (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 24/06/2024)
      In applied statistics, counting data are often observed in different areas of study. Due to the great diversity of problems that result in these types of data, it is necessary to propose new models. In this work, we propose ...