35 search results - page 3 / 7 » Diffusion Approximation for Bayesian Markov Chains |
CSDA
2010
13 years 8 months ago
2010
We consider mixtures of parametric densities on the positive reals with a normalized generalized gamma process (Brix, 1999) as mixing measure. This class of mixtures encompasses t...
UAI
2004
13 years 10 months ago
2004
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
ICIP
2009
IEEE
13 years 6 months ago
2009
IEEE
This paper addresses fluorescence diffuse optical tomography (FDOT) reconstruction problem with a priori information. We assume that approximate location of the fluorophore concen...
DSN
2007
IEEE
14 years 2 months ago
2007
IEEE
In this paper, we present a variational Bayesian (VB) approach to computing the interval estimates for nonhomogeneous Poisson process (NHPP) software reliability models. This appr...
ICASSP
2009
IEEE
14 years 3 months ago
2009
IEEE
In this paper, we propose a Bayesian model and a Monte Carlo Markov chain (MCMC) algorithm for reconstructing images that consist of only few non-zero pixels. An appropriate distr...