190 search results - page 7 / 38 » On solving integral equations using Markov chain Monte Carlo... |
94
Voted
MA
2010
Springer
14 years 10 months ago
2010
Springer
We consider Bayesian analysis of data from multivariate linear regression models whose errors have a distribution that is a scale mixture of normals. Such models are used to analy...
111
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IPPS
2008
IEEE
15 years 6 months ago
2008
IEEE
The increasing availability of multi-core and multiprocessor architectures provides new opportunities for improving the performance of many computer simulations. Markov Chain Mont...
SAC
2008
ACM
14 years 11 months ago
2008
ACM
Standard methods for maximum likelihood parameter estimation in latent variable models rely on the Expectation-Maximization algorithm and its Monte Carlo variants. Our approach is ...
348
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CVPR
2012
IEEE
13 years 1 months ago
2012
IEEE
A novel approach for event summarization and rare event detection is proposed. Unlike conventional methods that deal with event summarization and rare event detection independently...
161
Voted
PR
2011
14 years 2 months ago
2011
One of the main shortcomings of Markov chain Monte Carlo samplers is their inability to mix between modes of the target distribution. In this paper we show that advance knowledge ...