Browsing by CNPq Subject "CIENCIAS EXATAS E DA TERRA::PROBABILIDADE E ESTATISTICA"

Now showing items 1-20 of 91

    • Inferência em redes aleatórias com pesos discretos 

      Costa, Laila Letícia da Silva (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 04/04/2023)
      Random networks have been widely used to describe interactions between objects, including interpersonal relationships between individuals. One of the most important features of networks is the presence of communities, which ...

    • Modelos alternativos para classificação em dados desbalanceados 

      de la Cruz Huayanay, Alex (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 11/08/2023)
      In binary classification, the most used method is logistic regression model. However, several authors indicate that this model is not suitable when the data are imbalanced; for this, different asymmetric link functions as ...

    • Previsão probabilística dos resultados da copa do mundo de 2022 usando uma abordagem bayesiana 

      Moribayashi, Rodrigo Hideki (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 06/09/2023)
      This work aims to build and evaluate a predictive statistical model for football matches. To achieve this, we consider a Bayesian approach in a new model inspired by Lee (1997). The inspiration comes from two points ...

    • Recreações e artesanato em aulas de matemática 

      Garcia, Carmem Barrio (Universidade Federal de São Carlos, UFSCar, Programa de Mestrado Profissional em Matemática em Rede Nacional - PROFMAT, Câmpus São Carlos, 24/08/2015)
      From the need to increase the concentration and the interest of students playful method of teaching was applied, by making use of a desire of the students to pro-duce elastic bracelets, introducing through this form of ...

    • Análise de dados sequenciais heterogêneos baseada em árvore de decisão e modelos de Markov : aplicação na logística de transporte 

      Ataky, Steve Tsham Mpinda (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, Câmpus São Carlos, 16/10/2015)
      Latterly, the development of data mining techniques has emerged in many applications’ fields with aim at analyzing large volumes of data which may be simple and / or complex. The logistics of transport, the railway setor ...

    • Time series forecasting : advances on Theta method 

      Fiorucci, José Augusto (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Estatística - PPGEs, Câmpus São Carlos, 13/05/2016)
      Accurate and robust forecasting methods for univariate time series are critical as the historical data can be used in the strategic planning of such future operations as buying and selling to ensure product inventory and ...

    • Um estudo do número de inscrições e dos inscritos no ENEM no período de 2013 a 2022 

      Arantes, Gabriela de Oliveira (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 16/01/2024)
      The Instituto Nacional de Estudos e Pesquisas Educacionais An´ısio Teixeira (INEP) is a federal agency linked to the Minist´erio da Educa¸c˜ao (MEC) and aims to promote educational actions in Brazil. It plays a fundamental ...

    • Método bagging para aprimoramento de previsões de séries temporais 

      Camargo, Juliana Shibaki (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 22/10/2021)
      Different methodologies are proposed and explored aiming to reduce time series forecasting error. A promising approach consists in combining different forecasts from different models in order to get a better accuracy, ...

    • Modelos de sobrevivência bivariados induzidos por fragilidade 

      Bedia, Elizbeth Chipa (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 18/07/2022)
      Frailty models have been developed to quantify both heterogeneity as well as association in multivariate time-to-event data. The frailty distributions used in many studies include the gamma, inverse Gaussian (IG) or stable ...

    • Seleção estatística de árvores de contexto 

      Almeida, Isadora Nascimento de (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 22/01/2024)
      Context trees are models that parsimoniously generalize Markovian models. These models were introduced by Jorma Rissanen in 1983, as an efficient tool in Information Theory. Since then, these models have been widely used ...

    • Classificação binária de dados financeiros em problemas com classes desbalanceadas 

      Moura, Lucas Fernando (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 29/01/2024)
      In order to mitigate the risks and uncertainties associated with credit granting, financial institutions are constantly exploring methods to enhance the credit evaluation system. In the same context, the growth in credit ...

    • Estimação, seleção e predição de redes de neurônios estocásticos com memória de alcance variável 

      Pacola, Matheus Elias (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 02/02/2024)
      The nervous system is subjected to various sources of noise. Neuronal activity recordings reveal that part of this noise is due to electrical firings occurring spontaneously and irregularly, with variations even when the ...

    • Modelagem de fração cura com a distribuição Gompertz 

      Oliveira, André Paulino de (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 06/09/2022)
      Survival Analysis is a broad and crucial field of Statistical Science. Survival models are useful for estimating the reliability function, describe data properties and more. Considering medical studies, the aim is ...

    • Nova classe de modelos paramétricos para análise de sistemas reparáveis 

      Lopes, Tito Lívio da Cunha (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 13/01/2023)
      The Arithimetic Reduction of Age (ARA) model class from Doyen e Gaudoin (2004) has been widely used in the analysis of repairable systems, whose repair effect is expressed by an arithmetic age reduction. However, the ...

    • A robust lasso regression for linear mixed-effects models with diagnostic analysis 

      Garcia, Rafael Rocha de Oliveira (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 22/10/2021)
      Variable selection has been a topic of great interest for statisticians and researchers alike. The choice of the best subset of predictors may be carried out with the objective of improving prediction or for easier ...

    • Um estudo dos modelos de sobrevivência de longa duração LIGcr e GEPGWcr 

      Stella, Caroline Amantea (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 04/10/2022)
      In this work we study two long-term survival models denomined Logaritmic Inverse Gaussian cure rate (LIGcr) model and Geometric Exponentiated Power Generalized Weibull cure rate (GEPGWcr) model. Both models take into ...

    • 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 ...

    • Métodos de estimação baseados em modelos na presença de dados faltantes 

      Ribeiro, Taís Roberta (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 14/10/2022)
      The missing data are observations that should have been made, but were not for some reason, thus reducing the ability to understand the nature of the phenomenon, in addition to making it difficult to extract information ...

    • Models for inflated data applied to credit risk analysis 

      Oliveira Júnior, Mauro Ribeiro de (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Estatística - PPGEs, Câmpus São Carlos, 27/09/2016)
      In this thesis, we introduce a methodology based on zero-inflated survival data for the purposes of dealing with propensity to default (credit risk) in bank loan portfolios. Our approach enables us to accommodate three ...