• O corte do FBST em modelos de alta dimensionalidade 

      Poloniato Ferreira, Joao Carlos (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, 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 ...
    • 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 ...
    • Nonparametric pragmatic hypothesis testing 

      Lassance, Rodrigo Ferrari Lucas (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 13/06/2022)
      In statistical testing, a pragmatic hypothesis is an extension of a precise one, taking cases on the vicinity of the null as being equally worthy of appraisal. Unlike standard procedures, pragmatic hypotheses allow the ...
    • Regularização social em sistemas de recomendação com filtragem colaborativa 

      Zabanova, Tatyana (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, 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 ...