Buscar
Mostrando ítems 1-10 de 27
Modelos de difusão de inovação em grafos
(Universidade Federal de São CarlosUFSCarPrograma Interinstitucional de Pós-Graduação em Estatística - PIPGEsCâmpus São Carlos, 2019-04-12)
Areas such as politics, economics and marketing are heavily influential in terms of information diffusion. For this reason, several branches of science have studied such phenomena in order to simulate and understand them ...
Semiparametric Bayesian classification with longitudinal markers
(BLACKWELL PUBLISHING, 2007)
We analyse data from a study involving 173 pregnant women. The data are observed values of the beta human chorionic gonadotropin hormone measured during the first 80 days of gestational age, including from one up to six ...
Información discriminativa en clasificadores basados en modelos ocultos de Markov
(2011-03-09)
Hidden Markov models (HMM) are statistical models which can efficiently deal with sequential data. They provide a way to model complex dependencies between observed data by setting simple dependencies between latent ...
Limit theorems for continuous time Markov chains and applications to large scale queueing systems
(UR.FC.CMAT, 2018)
This thesis discusses limit theorems for density dependent families of continuoustime Markov chains and their application to the stochastic analysis of large scalecloud computing environments and data centers. On the ...
Análise teórica e computacional de processos estocásticos inspirados em sistemas biológicos.
(Universidade Federal de São CarlosUFSCarPrograma Interinstitucional de Pós-Graduação em Estatística - PIPGEsCâmpus 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 ...
Double generalized linear model for tissue culture proportion data: a Bayesian perspective
(ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, 2011)
Joint generalized linear models and double generalized linear models (DGLMs) were designed to model outcomes for which the variability can be explained using factors and/or covariates. When such factors operate, the usual ...
Weibull and generalised exponential overdispersion models with an application to ozone air pollution
(TAYLOR & FRANCIS LTDABINGDON, 2012)
We consider the problem of estimating the mean and variance of the time between occurrences of an event of interest (inter-occurrences times) where some forms of dependence between two consecutive time intervals are allowed. ...
Uma medida de contribuição local para sequências de processos fora de regime permanente
(Universidade Federal de Minas GeraisUFMG, 2015-04-30)
In this work we let us consider a set with a finite number of sequences, discrete and continuous. The main goal in this work is to measure instantaneously the contribution of each sequence of this set to the marginal ...
Grid-Uniform Copulas and Rectangle Exchanges: Bayesian Model and Inference for a Rich Class of Copula Functions
(2021)
Copula-based models provide a great deal of flexibility in modelling multivariate distributions, allowing for the specifications of models for the marginal distributions separately from the dependence structure (copula) ...