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Inferência bayesiana em modelos de volatilidade estocástica usando métodos de Monte Carlo Hamiltoniano
(Universidade Federal de São Carlos, 2018-08-10)
This paper presents a study using Bayesian approach in stochastic volatility models for modeling
financial time series, using Hamiltonian Monte Carlo methods (HMC). We propose the use
of other distributions for the errors ...
Metanálise para modelos de regressão
(Universidade Federal de São Carlos, 2016-10-28)
Modelo de mistura de regressão: uma abordagem bayesiana
(Universidade Federal de São Carlos, 2020-04-14)
In the current dissertation, we study the mixture regression models and present two Bayesian
methodologies for their estimation. The first one considers the number of components is known
and we propose the use of two ...
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 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 ...
Modelo poisson zero-modificado com efeito aleatório para dados longitudinais
(Universidade Federal de São Carlos, 2019-12-09)
In this work we present the Zero-Modified Poisson model with Normal random effect, and the Zero-Modified Poisson model with Generalized Log-Gamma random effect, which are extensions of the Zero-Modified Poisson model. Since ...
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 ...
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 ...
Redes neurais para grafos e suas aplicações aos sistemas complexos
(Universidade Federal de São Carlos, 2022-04-08)
Complex systems are composed of several components that interact with each other. A natural
approach for these types of systems is to use mathematical graph abstraction. In different
contexts in the real world, it is ...
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 ...