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Modelos de regressão para dados de contagem k-modificados
(Universidade Federal de São Carlos, 2020-01-21)
In this work the regression model to k-Modified family distributions is proposed. It is understood as modification, the inclusion of a parameter in the probability mass function of the traditional discrete distributions, ...
Análise teórica e computacional de processos estocásticos inspirados em sistemas biológicos.
(Universidade Federal de São Carlos, 2020-01-06)
The aim of this work is to present two methodologies based on the theoretical and computational analysis of continuous time stochastic processes inspired by biological systems, whose dynamics are influenced by the stochastic ...
Modelos de riscos competitivos no estudo de evasão discente
(Universidade Federal de São Carlos, 2020-02-11)
Dropout is a problem faced by public and private universities. Therefore, the motivation of
this work is to investigate the characteristics of students enrolled in a regular undergraduate
course and verify which one is ...
Distribuições discretas zero-modificadas para modelar dados de contagem zeros faltantes
(Universidade Federal de São Carlos, 2020-01-24)
The analysis of count data takes an important place in applied statistics, since many real problems are expressed in terms of counts. Frequently, count data sets have discrepancies in the frequency of the zero observation, ...
Vector representation of texts applied to prediction models
(Universidade Federal de São Carlos, 2020-03-09)
Natural Language Processing has gone through substantial changes over time. It was only recently that statistical approaches started receiving attention. The Word2Vec model is one of these. It is a shallow neural network ...
Modelos de sobrevivência bivariados baseados na cópula PVF
(Universidade Federal de São Carlos, 2020-03-13)
An alternative developed to study associations among multivariate survival times is the use of
models based on copula functions.
In this work, we use the survival model derived from the PVF copula, based on the Power
Variance ...
Algoritmos de estimação para modelos Markovianos não-homogêneos
(Universidade Federal de São Carlos, 2020-02-27)
Hidden Markov models are a statistical paradigm which can be used to mode stochastic processeswhere the observable values are directly dependent on a sequence of hidden random variables.In the context of the hidden Markov ...
Modelos de sobrevivência induzidos por fragilidade discreta série de potência zero-modificada
(Universidade Federal de São Carlos, 2020-03-13)
Survival models with a frailty term are presented as an extension of Cox's proportional risk model (COX, 1972), in which a random effect, called frailty, is introduced in the risk function in a multiplicative way with the ...
Modelos bayesianos zero-modificados para séries temporais de contagem
(Universidade Federal de São Carlos, 2020-04-30)
This work presents two Bayesian zero-modified (ZM) models for count time series: zero-modified Poisson ARMA and zero-modified COM-Poisson ARMA. The latter allows a greater flexibility since it has an aditional parameter ...
Estudo comparativo de métodos de estimação do modelo de resposta gradual para dados de burnout em enfermeiras
(Universidade Federal de São Carlos, 2020-04-27)
The graded response model is an Item Response Theory (IRT) model where items admit a polytomous response widely known in the literature. The motivation for this study comes from a data set which belongs to the RN4CAST ...