• Modelos de regressão logística clássica, Bayesiana e redes neurais para Credit Scoring 

      Mendonça, Tiago Silva; http://lattes.cnpq.br/2249769751685645 (Universidade Federal de São Carlos, UFSCar, Programa de Pós-graduação em Estatística, , 15/02/2008)
      Important advances have been achieved in the granting of credit, however, the problem of identifying good customers for the granting of credit does not provide a definitive solution. Several techniques were presented and ...
    • Combinação de classificadores para inferência dos rejeitados 

      Rocha, Ricardo Ferreira da; http://lattes.cnpq.br/0676420269735630 (Universidade Federal de São Carlos, UFSCar, Programa de Pós-graduação em Estatística, , 16/03/2012)
      In credit scoring problems, the interest is to associate to an element who request some kind of credit, a probability of default. However, traditional models uses samples biased because the data obtained from the tenderers ...
    • Análise de dados longitudinais para variáveis binárias 

      Rodrigues, José Tenylson Gonçalves; http://lattes.cnpq.br/6344453033829866 (Universidade Federal de São Carlos, UFSCar, Programa de Pós-graduação em Estatística, , 05/03/2009)
      The objective of this work is to present techniques of regression analysis for longitudinal data when the response variable is binary. Initially, there is a review of generalized linear models, marginal models, transition ...