A Priori And A Posteriori Distributions
Mostrando 1-4 de 4 artigos, teses e dissertações.
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1. Uncertainty estimation in hydrodynamic modeling using Bayesian techniques
RESUMO A avaliação de incertezas tem emergido como estudo primordial para se conhecerem os efeitos dos erros inerentes aos processos de modelagem de perfis de escoamento de vazões de cheia, de natureza aleatória e epistêmica, presentes em dados de entrada como vazões e topobatimetria, na estrutura e parametrização dos modelos matemáticos utilizados
RBRH. Publicado em: 17/10/2019
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2. Análise bayesiana em modelos TRI de três parâmetros. / Bayesian analysis for three parameters IRT models
In this dissertation the bayesian analysis for three parameters IRT (Item Response Theory) models with binaries and ordinals responses, considering the probit model, was discussed. For both cases, binary and ordinal, techniques based on MCCM (Monte Carlo Markov Chain) were used to estimate the items parameters. For binary response model, was considered two d
Publicado em: 2008
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3. Estimativas de máxima verosimilhança e bayesianas do número de erros de um software.
In this work we present the methodology of capture-recapture, under the classic and bayesian approach, to estimate the number of errors of software through inspection by distinct reviewers. We present the general statistical model considering independence among errors and among reviewers and consider the particular cases of equally detectable errors (homogen
Publicado em: 2006
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4. Shrinkage-based similarity metric for cluster analysis of microarray data
The current standard correlation coefficient used in the analysis of microarray data was introduced by M. B. Eisen, P. T. Spellman, P. O. Brown, and D. Botstein [(1998) Proc. Natl. Acad. Sci. USA 95, 14863–14868]. Its formulation is rather arbitrary. We give a mathematically rigorous correlation coefficient of two data vectors based on James–Stein s
National Academy of Sciences.