145 search results - page 4 / 29 » de Finetti Priors using Markov chain Monte Carlo computation... |
FOCS
1999
IEEE
15 years 2 months ago
1999
IEEE
We study two widely used algorithms, Glauber dynamics and the Swendsen-Wang algorithm, on rectangular subsets of the hypercubic lattice
MA
2010
Springer
14 years 9 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...
CAV
2009
Springer
15 years 11 months ago
2009
Springer
We describe a Markov chain Monte Carlo (MCMC)-based algorithm for sampling solutions to mixed Boolean/integer constraint problems. The focus of this work differs in two points from...
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PR
2011
14 years 1 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 ...
ICCS
2007
Springer
15 years 4 months ago
2007
Springer
In this work we study the computational complexity of a class of grid Monte Carlo algorithms for integral equations. The idea of the algorithms consists in an approximation of the ...