Recent Submissions

  • Statistical inference for non-homogeneous Poisson process with competing risks: a repairable systems approach under power-law process 

    Almeida, Marco Pollo; http://lattes.cnpq.br/9238886581003630 (Universidade Federal de São Carlos, UFSCar, Programa de Pós-graduação em Estatística UFSCar/USP, 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 ...
  • Modelo geométrico de ordem k correlacionado 

    Souza, Roberta de; http://lattes.cnpq.br/1778472331663673 (Universidade Federal de São Carlos, UFSCar, Programa Pós Graduação Estatística Interinstitucional, Câmpus São Carlos, 29/08/2019)
    In this work we propose the correlated geometric distribution of order k, k≥1, with parameters π and ρ; π ∈(0,1), max{−1,−1−π π } ≤ρ < 1, as an extension of the generalized geometric distribution proposed by Philippou e ...
  • Modelos não lineares assimétricos com efeitos mistos 

    Pereira, Marcos Antonio Alves; http://lattes.cnpq.br/4792032354955226 (Universidade Federal de São Carlos, UFSCar, Programa de Pós-graduação em Estatística UFSCar/USP, Câmpus São Carlos, 02/08/2019)
    This work aims to develop asymmetric nonlinear regression models with mixed-effects, which provide alternatives to the use of normal distribution and other symmetric distributions, in order to avoid the sensitivity in the ...
  • Neural networks as an optimization tool for regression 

    Coscrato, Victor Azevedo; http://lattes.cnpq.br/4154241806264076 (Universidade Federal de São Carlos, UFSCar, Programa de Pós-graduação em Estatística UFSCar/USP, Câmpus São Carlos, 02/09/2019)
    Neural networks are a tool to solve prediction problems that have gained much prominence recently. In general, neural networks are used as a predictive method, that is, their are used to estimate a regression function. ...
  • A distribuição normal-valor extremo generalizado para a modelagem de dados limitados no intervalo unitário (0, 1) 

    Benites, Yury Rojas; http://lattes.cnpq.br/8605250257796170 (Universidade Federal de São Carlos, UFSCar, Programa de Pós-graduação em Estatística UFSCar/USP, 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 ...
  • Processo de Bernoulli correlacionado 

    Novaes, Ricardo De Carli; http://lattes.cnpq.br/2239607814740944 (Universidade Federal de São Carlos, UFSCar, Programa de Pós-graduação em Estatística UFSCar/USP, Câmpus São Carlos, 28/06/2019)
    The independent Bernoulli process, which is a sequence of independent Bernoulli random variables, is already widely known in the statistical literature. This masters thesis works with a generalization of this process: the ...
  • Modelos série de potência zero-modificado para séries temporais com dados de contagem 

    Shirozono, Aimée; http://lattes.cnpq.br/1158155125122366 (Universidade Federal de São Carlos, UFSCar, Programa de Pós-graduação em Estatística UFSCar/USP, Câmpus São Carlos, 10/05/2019)
    The goal of this work is to propose the Zero-Modified models with Power Series distribution (ZMPS) for time series with counting data. The ZMPS model have a huge portfolio of count data distributions wherein, with an ...
  • A Bayesian nonparametric approach for the two-sample problem 

    Console, Rafael de Carvalho Ceregatti de; http://lattes.cnpq.br/5405464055196044 (Universidade Federal de São Carlos, UFSCar, Programa de Pós-graduação em Estatística, Câmpus São Carlos, 19/11/2018)
    In this work, we discuss the so-called two-sample problem (PEARSON; NEYMAN, 1930) assuming a nonparametric Bayesian approach. Considering X 1 ,...,X n and Y 1 ,...,Y m two inde- pendent i.i.d samples generated from P 1 ...
  • Modelos de difusão de inovação em grafos 

    Oliveira, Karina Bindandi Emboaba de; http://lattes.cnpq.br/7198883875528090 (Universidade Federal de São Carlos, UFSCar, Programa de Pós-graduação em Estatística UFSCar/USP, Câmpus São Carlos, 12/04/2019)
    Areas such as politics, economics and marketing are heavily influential in terms of information diffusion. For this reason, several branches of science have studied such phenomena in order to simulate and understand them ...
  • Contribuições sobre o envelope simulado na análise de diagnóstico em modelos de regressão 

    Fernandes, Victor Vinicius; http://lattes.cnpq.br/1671975353265972 (Universidade Federal de São Carlos, UFSCar, Programa de Pós-graduação em Estatística UFSCar/USP, Câmpus São Carlos, 30/04/2019)
    The simulated envelope is a diagnostic analysis method used to evaluate the hypothesis about the probability distribution assumed for the response variable in a regression model. In this work, we describe some procedures ...
  • Modelos COM-Poisson correlacionados 

    Pereira, Glauber Márcio Silveira; http://lattes.cnpq.br/2092333510547457 (Universidade Federal de São Carlos, UFSCar, Programa de Pós-graduação em Estatística UFSCar/USP, Câmpus São Carlos, 23/04/2019)
    In this thesis two discrete distributions are proposed: Correlated COM-Poisson (CPC) and Generalized partially correlated COM-Poisson (CPGPC). We have also proposed regression models for the Generalized partially correlated ...
  • Um procedimento para seleção de variáveis em modelos lineares generalizados duplos 

    Cavalaro, Lucas Leite; http://lattes.cnpq.br/2371167969495052 (Universidade Federal de São Carlos, UFSCar, Programa de Pós-graduação em Estatística UFSCar/USP, Câmpus São Carlos, 01/04/2019)
    The double generalized linear models (DGLM), unlike the generalized linear model (GLM), allow the fit of the dispersion parameter of the response variable as a function of predictor variables, improving the way of modeling ...
  • Some extensions in measurement error models 

    Cáceres Tomaya, Lorena Yanet; http://lattes.cnpq.br/0145921960754746 (Universidade Federal de São Carlos, UFSCar, Programa de Pós-graduação em Estatística UFSCar/USP, Câmpus São Carlos, 14/12/2018)
    In this dissertation, we approach three different contributions in measurement error model (MEM). Initially, we carry out maximum penalized likelihood inference in MEM’s under the normality assumption. The methodology ...
  • Modelos alternativos da TRI para dados politômicos 

    Silva, Marcelo Andrade da; http://lattes.cnpq.br/5641187629276460 (Universidade Federal de São Carlos, UFSCar, Programa de Pós-graduação em Estatística UFSCar/USP, 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 ...
  • Essays on bivariate option pricing via copula and heteroscedasticity models: a classical and bayesian approach 

    Lopes, Lucas Pereira; http://lattes.cnpq.br/5968999804623198 (Universidade Federal de São Carlos, UFSCar, Programa de Pós-graduação em Estatística UFSCar/USP, 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 ...
  • Cadeias estocásticas de memória ilimitada com aplicação na neurociência 

    Ferreira, Ricardo Felipe; http://lattes.cnpq.br/2355076087945221 (Universidade Federal de São Carlos, UFSCar, Programa de Pós-graduação em Estatística UFSCar/USP, Câmpus São Carlos, 21/03/2019)
    Stochastic chains with unbounded memory are a natural generalization of Markov chains, in the sense that the transition probabilities may depend on the whole past. These process, introduced independently by Onicescu and ...
  • Modelos de regressão para resposta binária na presença de dados desbalanceados 

    Huayanay, Alex de La Cruz; http://lattes.cnpq.br/5174900495252139 (Universidade Federal de São Carlos, UFSCar, Programa de Pós-graduação em Estatística UFSCar/USP, Câmpus São Carlos, 22/02/2019)
    In binary regression, imbalanced data result from the presence of values equal to zero (or one) in a proportion that is significantly greater than the corresponding real values of one (or zero). In this work, we evaluate ...
  • Penalized regression methods for compositional data 

    Shimizu, Taciana Kisaki Oliveira; http://lattes.cnpq.br/4655747321002185 (Universidade Federal de São Carlos, UFSCar, Programa de Pós-graduação em Estatística UFSCar/USP, Câmpus São Carlos, 10/12/2018)
    Compositional data consist of known vectors such as compositions whose components are positive and defined in the interval (0,1) representing proportions or fractions of a "whole", where the sum of these components must ...
  • Modelagem conjunta de dados longitudinais e de sobrevivência para avaliação de desfechos clínicos do parto 

    Maiorano, Alexandre Cristovão; http://lattes.cnpq.br/1457616145396499 (Universidade Federal de São Carlos, UFSCar, Programa de Pós-graduação em Estatística UFSCar/USP, Câmpus São Carlos, 06/12/2018)
    As most pregnancy-related deaths and morbidities are clustered around the time of child birth, the quality of care during this period is crucial for mothers and their babies. To monitor the women at this stage, the partograph ...
  • O corte do FBST em modelos de alta dimensionalidade 

    Poloniato Ferreira, Joao Carlos; http://lattes.cnpq.br/8825685476623655 (Universidade Federal de São Carlos, UFSCar, Programa de Pós-graduação em Estatística, Câmpus São Carlos, 03/12/2018)
    The problem of controlling the significance level of the FBST (Full Bayesian Significant Test) test is studied in the context of Bayesian models for density, thus, a Bayesian method is shown that works with density ...

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