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A Bayesian Semiparametric Approach for Solving the Discrete Calibration Problem
(TAYLOR & FRANCIS INC, 2010)
In this article, we introduce a semi-parametric Bayesian approach based on Dirichlet process priors for the discrete calibration problem in binomial regression models. An interesting topic is the dosimetry problem related ...
Geographical distribution and ecological diversification of South American octodontid rodents
(Wiley Blackwell Publishing, Inc, 2013-02)
Caviomorph rodents represent one of the most distinctive groups of mammals in southern South America drylands; they colonized South America from Africa via trans-oceanic dispersions in the Eocene (40-50 Ma) and underwent ...
Orbits for 18 Visual Binaries and Two Double-line Spectroscopic Binaries Observed with HRCAM on the CTIO SOAR 4m Telescope, Using a New Bayesian Orbit Code Based on Markov Chain Monte Carlo
(2017)
We present orbital elements and mass sums for 18 visual binary stars of spectral types B to K (five of which are new orbits) with periods ranging from 20 to more than 500 yr. For two double-line spectroscopic binaries with ...
Orbits for eighteen visual binaries and two double-line spectroscopic binaries observed with hrcam on the CTIO SOAR 4m telescope, using a new bayesian orbit code based on markov chain Monte Carlo
(IOP Publishing Ltd., 2017)
We present orbital elements and mass sums for 18 visual binary stars of spectral types B to K (five of which are new orbits) with periods ranging from 20 to more than 500 yr. For two double-line spectroscopic binaries with ...
Framework for Skew-Probit Links in Binary Regression
(TAYLOR & FRANCIS INC, 2010)
We review several asymmetrical links for binary regression models and present a unified approach for two skew-probit links proposed in the literature. Moreover, under skew-probit link, conditions for the existence of the ...
Bayesian binary regression model: an application to in-hospital death after AMI prediction
(Sociedade Brasileira de Pesquisa Operacional, 2004-08-01)
Um modelo bayesiano de regressão binária é desenvolvido para predizer óbito hospitalar em pacientes acometidos por infarto agudo do miocárdio. Métodos de Monte Carlo via Cadeias de Markov (MCMC) são usados para fazer ...
Bayesian binary regression model: an application to in-hospital death after AMI prediction
(Sociedade Brasileira de Pesquisa Operacional, 2004-08-01)
Um modelo bayesiano de regressão binária é desenvolvido para predizer óbito hospitalar em pacientes acometidos por infarto agudo do miocárdio. Métodos de Monte Carlo via Cadeias de Markov (MCMC) são usados para fazer ...
Bayesian binary regression model: an application to in-hospital death after AMI prediction
(Sociedade Brasileira de Pesquisa Operacional, 2014)
Modelos lineares generalizados bayesianos para dados longitudinais
(Universidade Estadual Paulista (UNESP), 2016)
Modelos lineares generalizados bayesianos para dados longitudinais
(Universidade Estadual Paulista (Unesp), 2016-02-19)
Os Modelos Lineares Generalizados (GLM) foram introduzidos no início dos anos 70, tendo um grande impacto no desenvolvimento da teoria estatística. Do ponto de vista teórico, esta classe de modelos representa uma abordagem ...