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» Simple Monte Carlo and the Metropolis algorithm
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JC
2007
101views more  JC 2007»
13 years 4 months ago
Simple Monte Carlo and the Metropolis algorithm
We study the integration of functions with respect to an unknown density. Information is available as oracle calls to the integrand and to the nonnormalized density function. We ar...
Peter Mathé, Erich Novak
CSDA
2010
118views more  CSDA 2010»
13 years 4 months ago
Grapham: Graphical models with adaptive random walk Metropolis algorithms
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...
Matti Vihola

Tutorial
1525views
15 years 3 months ago
Markov Chain Monte Carlo
This tutorial was held within the Maths Club at the University of Leeds Topics covered (briefly): Monte Carlo Integration Markov Chain Markov Chain Monte Carlo Sampling Metrop...
Dima Damen
UAI
2001
13 years 5 months ago
Markov Chain Monte Carlo using Tree-Based Priors on Model Structure
We present a general framework for defining priors on model structure and sampling from the posterior using the Metropolis-Hastings algorithm. The key ideas are that structure pri...
Nicos Angelopoulos, James Cussens
CEC
2010
IEEE
13 years 3 months ago
Gaussian Adaptation as a unifying framework for continuous black-box optimization and adaptive Monte Carlo sampling
Abstract— We present a unifying framework for continuous optimization and sampling. This framework is based on Gaussian Adaptation (GaA), a search heuristic developed in the late...
Christian L. Müller, Ivo F. Sbalzarini