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Accelerating Monte Carlo Markov chain convergence for cumulative-link generalized linear models

โœ Scribed by Mary Kathryn Cowles


Publisher
Springer US
Year
1996
Tongue
English
Weight
855 KB
Volume
6
Category
Article
ISSN
0960-3174

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The marked increase in popularity of Bayesian methods in statistical practice over the last decade owes much to the simultaneous development of Markov chain Monte Carlo (MCMC) methods for the evaluation of requisite posterior distributions. However, along with this increase in computing power has co