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Comparação do desempenho de Modelos Lineares Generalizados (MLG) e Modelos Aditivos Generalizados (MAG) na predição de dados financeiros em credit score
(Universidade Federal de São Carlos, 2010-10-07)
This study aimed to present and compare the performance of two different methodologies for statistical modeling of financial data with dichotomous response, specifically exemplified by models of credit score as well as ...
Parametric and semi-parametric cure rate models with spatial frailties for interval-censored data
(Universidade Federal de São Carlos, 2016-05-31)
In this thesis, we extend some flexible cure rate models, such as the geometric, negative
binomial and power series cure rate models, to allow for spatial correlations by including spatial
frailties for the interval ...
Redes probabilísticas de K-dependência para problemas de classificação binária
(Universidade Federal de São Carlos, 2012-02-28)
Classification consists in the discovery of rules of prediction to assist with planning and decision-making, being a continuously indispensable tool and a highly discussed subject in literature. As a special case in ...
Bayesian variable selection using data driven reversible jump: an application to schizophrenia data
(Universidade Federal de São Carlos, 2021-12-17)
Symptom based diagnosis are known to be limited specially concerning complex disorders such as schizophrenia. Modern attempts in providing predictive risk for such disease, to assist existing diagnosis tools, integrate ...
Um método para construção de distribuições de probabilidades do tipo contínuo
(Universidade Federal de São Carlos, 2013-05-10)