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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 ...
Nonparametric pragmatic hypothesis testing
(Universidade Federal de São Carlos, 2022-06-13)
In statistical testing, a pragmatic hypothesis is an extension of a precise one, taking cases on the vicinity of the null as being equally worthy of appraisal. Unlike standard procedures, pragmatic hypotheses allow the ...
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 induzidos por fragilidade discreta com fração de cura e riscos proporcionais
(Universidade Federal de São Carlos, 2022-10-21)
This work presents two new survival models induced by discrete frailty with unobserved heterogeneity and proportional hazards structure, for lifetime data. The first model consider the discrete frailty variable with Katz ...
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 ...
Observações atípicas em alta dimensão
(Universidade Federal de São Carlos, 2022-09-15)
Outliers and heteroskedastic noise are two common situations in Statistics. Nowadays the amount
of generated data is very high and for this reason it is possible to find high dimensional data
(the dimension d is just as ...
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 ...
Estimação do número de comunidades no modelo estocástico de blocos com correção de grau
(Universidade Federal de São Carlos, 2022-12-14)
The stochastic block model (SBM) is a random graph model that splits the set of vertices into blocks, and
the probability connection between each pair of vertices depends on the blocks to which the vertices
belong. The ...
Testes bayesianos em ensaios clínicos
(Universidade Federal de São Carlos, 2022-02-22)
In this thesis, we propose two new Bayesian approaches for equivalence hypotheses testing for proportions and prove that these Bayesian hypotheses tests are equivalent. These Bayesian methodologies applied to equivalence ...