Listar por temas CNPq "CIENCIAS EXATAS E DA TERRA::PROBABILIDADE E ESTATISTICA::ESTATISTICA::ANALISE DE DADOS"

Mostrando ítems 21-40 de 61

    • Um estudo estatístico sobre as redes de aeroportos no Brasil 

      Amancio, Daniele Gentile (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 08/11/2021)
      In this work, we study the evolution of the Brazilian airport networks in order to describe their connectivity structure and to analyze if their structure changed during the pandemic caused by COVID-19. To this end, we ...

    • Monitoramento estatístico aplicado à ciência dos dados: uma abordagem para validação contínua de modelos preditivos classificatórios 

      Bueno, Carlos Renato (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Engenharia de Produção - PPGEP, Câmpus São Carlos, 27/05/2022)
      Predictive models are those that apply to data of observable variables, called independent, inferring on the behavior of another variable, observable or not, called dependent. A particular case, and widely used, are the ...

    • Inferência para modelos de fração de cura zeros inflacionados aplicados a dados de risco de crédito 

      Felix, Matheus Henrique (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 28/10/2021)
      Given the great demand for granting credit and service goods, there is a need to be able to control the risk involved in the process. This measure aims to manage possible unwanted events, for example, default, in order to ...

    • Métodos de agrupamento longitudinal: uma aplicação em dados de ondas ultrassônicas 

      Nesterick, Giovanna Passos (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 12/11/2021)
      The preservation of buildings faces several challenges, such as the wear caused by weather, atmospheric conditions, soil settlement or even lack of proper maintenance. In some cases, such as historical heritage, it is not ...

    • Relação entre a qualidade hídrica superficial e a dinâmica da paisagem em quatro sub-bacias hidrográficas com alta densidade demográfica na região sudeste do Brasil 

      Dorici, Mariana (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciências Ambientais - PPGCAm, Câmpus São Carlos, 23/11/2021)
      The deterioration of water bodies has become an increasingly worrying problem as human activities cause significant changes in the physicochemical properties of water and a series of environmental and human health problems. ...

    • Lambert-F univariate distributions for asymmetrical data 

      Iriarte Salinas, Yuri Antonio (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 16/12/2021)
      In this dissertation, we propose new univariate continuous distributions for modeling asymmetrical data. Initially, starting from a non-linear parametric transformation of an uniform random variable, we propose a new ...

    • 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 ...

    • Redes neurais aplicadas a grafos: uma abordagem semi-supervisionada 

      Treméa, Samuel (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 18/04/2022)
      In this work, we propose an in-depth analysis of Graph Convolutional Networks, a semi-supervised machine learning method for node classification in graph-structured data. Based on the seminal work proposed by Thomas Kipf ...

    • 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 ...

    • Utilização de métodos de aprendizado de máquina para estimação de escores de propensão 

      Santos, Amanda Kely Faria dos (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 18/04/2022)
      Increasingly larger and more complex databases can be easily obtained and appropriate technologies for modeling massive amounts of data become increasingly necessary in order to optimize results and predictions. Machine ...

    • Ensaio em laboratório da biorremediação da água eutrofizada da lagoa da Salina (Morada Nova - CE) com a branchoneta (Dendrocephalus brasiliensis Pesta, 1921) 

      Oliveira, Francisco Rafael de Araújo (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Planejamento e Uso de Recursos Renováveis - PPGPUR-So, Câmpus Sorocaba, 23/02/2022)
      The pollution of water resources is one of the main environmental problems that human actions can cause. This situation causes an increase in the concentration of nutrients in water, accelerating the process of eutrophication, ...

    • Um perfil do comportamento e características dos indivíduos frente a covid-19 a partir da pnad covid19 

      Janine, Samantha Navarro (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 09/09/2022)
      The National Household Sample Survey (PNAD), which is conducted by IBGE, consists of general characteristics of the population, education, labor, income and housing. The COVID-19 pandemic, started in March 2020, imposed ...

    • 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, ...

    • Estratégias de reamostragem aplicadas em problemas de classificação binária de dados financeiros 

      Sturaro, Rafael Setti Riedel (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 22/08/2023)
      Many binary classification problems exhibit unbalanced classes, which consists of one of the two classes being significantly more numerous than the other. The minority class is the least representative, with far fewer ...

    • Merge trees decoradas e TDA 

      Falsarella, Guilherme de Carvalho (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Matemática - PPGM, Câmpus São Carlos, 10/08/2023)
      In this document, first we will introduce Persistance Homology and Category Theory basic concepts. Afterwards, we will develop the Merge Tree Theory which will be useful to keep track of connected components evolution of ...

    • Previsões de preço de criptomoedas utilizando algoritmos de Aprendizado de Máquina 

      Nordi, Victor Hugo Werneck (Universidade Federal de São Carlos, UFSCar, , Câmpus Sorocaba, 10/10/2023)
      Cryptourrencies are decentralized digital currencies created with the intent of replacing traditional forms of payment. Their high volatility is one of the aspects that causes distrust among investors. Artificial Intelligence ...

    • Avaliação esportiva utilizando técnicas multivariadas: construção de indicadores e sistemas online 

      Maiorano, Alexandre Cristovão (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Estatística - PPGEs, Câmpus São Carlos, 10/10/2014)
      The main objective of this research is to provide statistical tools that allow the comparison of individuals in a speci ed sports category. Particularly, the present study is focused on the performance evaluation in ...

    • Testes de superioridade para modelos de chances proporcionais com e sem fração de cura 

      Teixeira, Juliana Cecília da Silva (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 24/10/2017)
      Studies that prove the superiority of a drug in relation to others already existing in the market are of great interest in clinical practice. Based on them the Brazilian National Agency of Sanitary Surveillance (ANVISA) ...

    • Métodos de detecção de fraude em cartões de crédito: um estudo comparativo 

      Piccin, Luiz Eduardo (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 14/04/2022)
      The arrival of the pandemic radically changed the consumption habits of goods and services, starting to occur almost exclusively in the virtual world, which in turn, in the context of fraud, has a greater number of loopholes ...