Recent Submissions

  • Análises Bayesiana para o modelo de regressão Birnbaum-Saunders com zeros ajustados 

    Marcelino, Jadson Luan dos Santos (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 11/08/2021)
    Modeling based on the Birnbaum-Saunders distribution has received considerable attention in recent years. In this work we consider the reparametrized Birnbaum-Saunders distribution with zero-adjusted (ZARBS) (SANTOS-NETO ...
  • Distribuições discretas para duas observações inflacionadas 

    Hebling, Luisa (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 30/07/2021)
    Count data is often found in many real applications and some observations may occur in the data set in an excessive amount. In many real problems it is quite common for the data set to contain excesses of zero and one ...
  • Full Bayesian Significance Test para dados de sobrevivência bivariados: seleção de modelos encaixados da cópula PVF 

    Cantoni, Murilo (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 28/06/2021)
    The investigation and modeling of the existing dependence in a set of random variables is a widely discussed topic in statistics. In this context, the use of copulas becomes interesting because it is a flexible approach ...
  • Frailty model for multiple repairable systems hierarchically represented in serial/parallel structures under assumption of ARAm imperfect repairs 

    Gonzatto Junior, Oilson Alberto (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 27/04/2021)
    The main objective of this thesis is to extend the methodology used to treat failure time data. In particular, we wish to propose an appropriate modeling to a context of hierarchically represented repairable systems, subject ...
  • 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) ...
  • Redes Bayesianas para classificação com aprendizado via scoring and restrict: método, aplicação e comparação com métodos tradicionais 

    Ozelame, Camila Sgarioni (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Ciências Fisiológicas - PIPGCF, Câmpus São Carlos, 05/04/2021)
    This work is an investigation towards the behavior of discrete Bayesian Networks (BN) which aims to solve classification problems. This methodology is based on graphs and probability theories, and it is defined to be ...
  • Um novo modelo de sobrevivência Bell-Inversa Gaussiana com fração de cura 

    Carregari, Renata Cristina (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 26/03/2021)
    In this work we propose a new survival model called the Bell-Inverse Gaussian cure rate. We consider different activation schemes in which the number of factors $M$ has the Bell distribution and the time of occurrence ...
  • Análise de textos por meio de processos estocásticos na representação word2vec 

    Massoni, Gabriela (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 03/03/2021)
    Within the field of Natural Language Processing (NLP), the word2vec model has been extensively explored in the field of vector representation of words. It is a neural network that is based on the hypothesis that similar ...
  • Distribuições combinadas 

    Caldas, Tainá Santana (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 21/04/2021)
    It is proposed a possible new line of research in which distributions are combined. Combined distributions are an alternative for adjusting continuous data that present different probabilistic behaviors. A combined ...
  • Regularização social em sistemas de recomendação com filtragem colaborativa 

    Zabanova, Tatyana (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Ciências Fisiológicas - PIPGCF, Câmpus São Carlos, 14/05/2019)
    Models based on matrix factorization are among the most successful implementations of Recommender Systems. In this project, we study the possibilities of incorporating the information from social networks to improve the ...
  • Contribuições para modelos de diagnóstico cognitivo 

    Oliveira, Eduardo Schneider Bueno de (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 23/02/2021)
    Cognitive Diagnostic Models (CDMs) are latent variable models which are useful for identifying the profile of respondents through tests or assessments. They are mainly used in educational assessments, but can also be ...
  • Modelos de regressão misto para resposta limitada usando distribuições do tipo Johson-SB 

    Piccirilli, Giovanni Pastori (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 10/03/2021)
    In this work, new properties, estimation methods, residual analysis and extensions are developed for regression models in the (0,1) interval considering the Johnson-SB type distributions (JSB). The extensions are zero-and-one ...
  • Avaliação do lasso e métodos alternativos em modelos de regressão logística 

    Alcântara Junior, Gilberto Pereira de (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 11/03/2021)
    Logistic regression has always been an important tool not only in the area of statistics, but also in several other areas such as economic, biological and medical. In many of these areas it is common to encounter problems ...
  • Uma construção de cópulas semilineares bivariadas baseada nas famílias AMH, FGM e Plackett 

    Correia, Átila Prates (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 26/02/2021)
    Copulas are cumulative distribution functions defined on the unit square whose margins are uniform. In the context of the present work, we have provided three new families of semilinear copulas based on the copulas AMH, ...
  • Cure rate models: alternatives methods to estimate the cure rate 

    Rodrigues, Juliana Scudilio (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 16/07/2020)
    Cure rate models in survival data studies has formed an important field in the area and has attracted the attention of researchers. In the search for new models of cure rate, the objective of this work is to propose ...
  • A new class of discrete models for the analysis of zero-modified count data 

    Silva, Wesley Bertoli da (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 03/04/2020)
    In this work, a new class of discrete models for the analysis of zero-modified count data has been introduced. The proposed class is composed of hurdle versions of the Poisson-Lindley, Poisson-Shanker, and Poisson-Sujatha ...
  • O Modelo de Regressão Potência-Normal Logística, Cauchy, Normal e Gumbel para resposta no intervalo unitário 

    Pedraza, Carlos Franklin Taco (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 17/07/2020)
    In this research a new statistical model is introduced to model data restricted in the continuous interval (0,1) . The new model is the composition of the power-normal distribution and the quantile of another family of ...
  • Modelos de Lévy de atividade infinita 

    Almeida, Danila Maria Silva Fernandes de (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 12/06/2020)
    In this work, we present a class of pure jump Lévy processes A, with internal filtration and Itô-Lévy decomposition and we established an explicit forms for martingale representation, main component of our process. ...
  • Conditional independence testing, two sample comparison and density estimation using neural networks 

    Inácio, Marco Henrique de Almeida (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 03/08/2020)
    Given the vast amount of data available nowadays and the rapid increase of computational processing power, the field of machine learning and the so called algorithmic modeling have seen a recent surge in its popularity and ...
  • Modelo de mistura de regressão: uma abordagem bayesiana 

    Cotrim, Luiz Gabriel Fernandes (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 14/04/2020)
    In the current dissertation, we study the mixture regression models and present two Bayesian methodologies for their estimation. The first one considers the number of components is known and we propose the use of two ...

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