Monte carlo methods in bayesian computation springer series in statistics softcover reprint of the original 1st ed 2000 edition by ming hui chen author visit amazons ming hui chen page find all the books read about the author and more see . Monte carlo statistical methods particularly those based on markov chains are now an essential component of the standard set of techniques used by statisticians this new edition has been revised towards a coherent and flowing coverage of these simulation techniques with incorporation of the most . Sampling from the posterior distribution and computing posterior quanti ties of interest using markov chain monte carlo mcmc samples are two major challenges involved in advanced bayesian computation. Details about monte carlo methods in bayesian computation springer series in statistics be the first to write a review monte carlo methods in bayesian computation springer series in statistics. Springer series in statistics advisors p bickel p diggle s fienberg monte carlo methods in bayesian computation david edwards annotated readings in the history of statistics originally published by springer verlag new york inc in 2000
How it works:
1. Register a Free 1 month Trial Account.
2. Download as many books as you like ( Personal use )
3. No Commitment. Cancel anytime.
4. Join Over 100.000 Happy Readers.
5. That's it. What you waiting for? Sign Up and Get Your Books.