Comment on "Bayesian Computation and Stochastic Systems"
Comment on "Bayesian Computation and Stochastic Systems"
We congratulate the authors on a magnificent paper, providing a nicely paced introduction to Markov chain Monte Carlo and its applications, together with several new ideas. In particular the class of pairwise difference priors is bound to have a substantial impact on future applied work. Other ideas given less prominence in the paper are also valuable, for example, the construction of simultaneous credible regions based on MCMC output. There are several issues which we wish to comment on in detail.
49-51
Roberts, G.O.
c954867f-84a1-4fc7-a618-ccbce35fa89b
Sahu, S.K.
33f1386d-6d73-4b60-a796-d626721f72bf
Gilks, W.R.
a885c9e6-91f3-4b05-b4d4-e8b924af984a
1995
Roberts, G.O.
c954867f-84a1-4fc7-a618-ccbce35fa89b
Sahu, S.K.
33f1386d-6d73-4b60-a796-d626721f72bf
Gilks, W.R.
a885c9e6-91f3-4b05-b4d4-e8b924af984a
Roberts, G.O., Sahu, S.K. and Gilks, W.R.
(1995)
Comment on "Bayesian Computation and Stochastic Systems".
Statistical Science, 10 (1), .
Abstract
We congratulate the authors on a magnificent paper, providing a nicely paced introduction to Markov chain Monte Carlo and its applications, together with several new ideas. In particular the class of pairwise difference priors is bound to have a substantial impact on future applied work. Other ideas given less prominence in the paper are also valuable, for example, the construction of simultaneous credible regions based on MCMC output. There are several issues which we wish to comment on in detail.
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Published date: 1995
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Statistics
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Local EPrints ID: 54066
URI: http://eprints.soton.ac.uk/id/eprint/54066
ISSN: 0883-4237
PURE UUID: f1d8ff42-17a2-43c3-a141-d1dbaee71485
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Date deposited: 04 Aug 2008
Last modified: 12 Dec 2021 03:11
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Author:
G.O. Roberts
Author:
W.R. Gilks
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