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Inferência em redes aleatórias com pesos discretos
(Universidade Federal de São Carlos, 2023-04-04)
Random networks have been widely used to describe interactions between objects, including interpersonal relationships between individuals. One of the most important features of networks is the presence of communities, which ...
Método bagging para aprimoramento de previsões de séries temporais
(Universidade Federal de São Carlos, 2021-10-22)
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, ...
A robust lasso regression for linear mixed-effects models with diagnostic analysis
(Universidade Federal de São Carlos, 2021-10-22)
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 ...
Um estudo dos modelos de sobrevivência de longa duração LIGcr e GEPGWcr
(Universidade Federal de São Carlos, 2022-10-04)
In this work we study two long-term survival models denomined Logaritmic Inverse Gaussian cure rate (LIGcr) model and Geometric Exponentiated Power Generalized Weibull cure rate (GEPGWcr) model. Both models take into ...
A nonparametric bayesian approach for modeling and comparison of functional data
(Universidade Federal de São Carlos, 2022-09-02)
The current advances of technology provides, among other things, several ways of collecting
data, which enlarges the possibility of studying new phenomena. Researches focused on studying
the functional relation between ...
Bayesian inference for term structure models
(Universidade Federal de São Carlos, 2022-06-09)
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 ...
Testes de superioridade para modelos de chances proporcionais com e sem fração de cura
(Universidade Federal de São Carlos, 2017-10-24)
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) ...
Comparação de métodos de estimação para problemas com colinearidade e/ou alta dimensionalidade (p > n)
(Universidade Federal de São Carlos, 2016-04-29)
This paper presents a comparative study of the predictive power of four suitable regression
methods for situations in which data, arranged in the planning matrix, are very
poorly multicolinearity and / or high dimensionality, ...
Métodos de categorização de variáveis preditoras em modelos de regressão para variáveis binárias
(Universidade Federal de São Carlos, 2017-06-13)
Regression models for binary response variables are very common in several areas of knowledge.
The most used model in these situations is the logistic regression model, which assumes that the
logit of the probability of ...
Bayesian variable selection for logistic mixture models with Pólya-Gamma data augmentation
(Universidade Federal de São Carlos, 2022-02-15)
In this work, Bayesian methods for estimating and selecting variables in a mixture of logistic regressions model are presented.
In order to simplify its Bayesian estimation, we extend the data augmentation approach ...