Supplement to "Markov Chain Monte Carlo Based on Deterministic Transformations"
Somak Dutta, Sourabh Bhattacharya
TL;DR
This supplement provides additional details and clarifications to the original paper on Markov Chain Monte Carlo methods using deterministic transformations, enhancing understanding and implementation guidance.
Contribution
It offers supplementary material that deepens the theoretical insights and practical aspects of the original MCMC transformation approach.
Findings
Enhanced theoretical understanding of deterministic transformations in MCMC
Additional implementation details and examples
Clarifications that improve reproducibility
Abstract
This is a supplement to the article "Markov Chain Monte Carlo Based on Deterministic Transformations" available at http://arxiv.org/abs/1106.5850
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Taxonomy
TopicsMarkov Chains and Monte Carlo Methods · Bayesian Methods and Mixture Models · Statistical Methods and Inference