Monte Carlo Methods in Bayesian Computation /
This book examines advanced Bayesian computational methods. It presents methods for sampling from posterior distributions and discusses how to compute posterior quantities of interest using Markov chain Monte Carlo (MCMC) samples. This book examines each of these issues in detail and heavily focuses...
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Format: | eBook |
Language: | English |
Published: |
New York, NY :
Springer New York,
2000.
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Series: | Springer series in statistics.
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Online Access: | Connect to the full text of this electronic book |
Internet
Connect to the full text of this electronic bookAvailable Online
Call Number: |
QA276-280 |
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Call Number | Status | Get It |
QA276-280 | Available |