Search
Now showing items 1-7 of 7
Modeling survival data based on a reparameterized weighted Lindley distribution
(Universidade Federal de São Carlos, 2022-06-24)
In this work, we propose different statistical modeling for survival data based on a reparameterized weighted Lindley distribution. Initially, we present this distribution and study its mathematical properties, maximum ...
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 ...
Métodos de estimação baseados em modelos na presença de dados faltantes
(Universidade Federal de São Carlos, 2022-10-14)
The missing data are observations that should have been made, but were not for some reason,
thus reducing the ability to understand the nature of the phenomenon, in addition to making it
difficult to extract information ...
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 ...
Modelos de sobrevivência bivariados induzidos por fragilidade
(Universidade Federal de São Carlos, 2022-07-18)
Frailty models have been developed to quantify both heterogeneity as well as association in multivariate time-to-event data. The frailty distributions used in many studies include the gamma, inverse Gaussian (IG) or stable ...
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 ...
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 ...