183 search results - page 12 / 37 » Markov Chain Monte Carlo using Tree-Based Priors on Model St... |
ICIP
2010
IEEE
13 years 6 months ago
2010
IEEE
Based on the theory of Markov Random Fields, a Bayesian regularization model for diffusion tensor images (DTI) is proposed in this paper. The low-degree parameterization of diffus...
CSDA
2010
13 years 9 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...
WSC
1998
13 years 10 months ago
1998
In simulation modeling and analysis, there are two situations where there is uncertainty about the number of parameters needed to specify a model. The first is in input modeling w...
CSDA
2010
13 years 9 months ago
2010
Recently developed adaptive Markov chain Monte Carlo (MCMC) methods have been applied successfully to many problems in Bayesian statistics. Grapham is a new open source implementat...
ICML
2005
IEEE
14 years 9 months ago
2005
IEEE
This paper concerns the experimental assessment of tempering as a technique for improving Bayesian inference for C&RT models. Full Bayesian inference requires the computation ...