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Avaliação do lasso e métodos alternativos em modelos de regressão logística
(Universidade Federal de São Carlos, 2021-03-11)
Logistic regression has always been an important tool not only in the area of statistics, but also in several other areas such as economic, biological and medical. In many of these areas it is common to encounter problems ...
Contribuições para modelos de diagnóstico cognitivo
(Universidade Federal de São Carlos, 2021-02-23)
Cognitive Diagnostic Models (CDMs) are latent variable models which are useful for identifying the profile of respondents through tests or assessments. They are mainly used in educational assessments, but can also be ...
Modelos de regressão misto para resposta limitada usando distribuições do tipo Johson-SB
(Universidade Federal de São Carlos, 2021-03-10)
In this work, new properties, estimation methods, residual analysis and extensions are developed for regression models in the (0,1) interval considering the Johnson-SB type distributions (JSB). The extensions are zero-and-one ...
Análise de textos por meio de processos estocásticos na representação word2vec
(Universidade Federal de São Carlos, 2021-03-03)
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 ...
Distribuições combinadas
(Universidade Federal de São Carlos, 2021-04-21)
It is proposed a possible new line of research in which distributions are combined. Combined distributions are an alternative for adjusting continuous data that present different probabilistic behaviors. A combined ...
Um novo modelo de sobrevivência Bell-Inversa Gaussiana com fração de cura
(Universidade Federal de São Carlos, 2021-03-26)
In this work we propose a new survival model called the Bell-Inverse Gaussian cure rate.
We consider different activation schemes in which the number of factors $M$ has the Bell distribution
and the time of occurrence ...
Método Zero-Variance para Monte Carlo Hamiltoniano aplicado a modelos GARCH univariados e multivariados
(Universidade Federal de São Carlos, 2021-05-13)
This PhD work develops, compares and applies Monte Carlo Markov Chains (MCMC) methods for parameter estimation in univariate and multivariate GJR-GARCH models.
Specifically, the following problems are addressed: (i) ...
Distribuições discretas para duas observações inflacionadas
(Universidade Federal de São Carlos, 2021-07-30)
Count data is often found in many real applications and some observations may occur in the data set in an excessive amount. In many real problems it is quite common for the data set to contain excesses of zero and one ...
Full Bayesian Significance Test para dados de sobrevivência bivariados: seleção de modelos encaixados da cópula PVF
(Universidade Federal de São Carlos, 2021-06-28)
The investigation and modeling of the existing dependence in a set of random variables is a widely discussed topic in statistics. In this context, the use of copulas becomes interesting because it is a flexible approach ...
Uma construção de cópulas semilineares bivariadas baseada nas famílias AMH, FGM e Plackett
(Universidade Federal de São Carlos, 2021-02-26)
Copulas are cumulative distribution functions defined on the unit square whose margins are uniform. In the context of the present work, we have provided three new families of semilinear copulas based on the copulas AMH, ...