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For: McKeague IW, Wefelmeyer W. Markov chain Monte Carlo and Rao–Blackwellization. J Stat Plan Inference 2000. [DOI: 10.1016/s0378-3758(99)00079-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/16/2022]
Number Cited by Other Article(s)
1
Robert CP, Roberts G. Rao–Blackwellisation in the Markov Chain Monte Carlo Era. Int Stat Rev 2021. [DOI: 10.1111/insr.12463] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
2
Rigat F, Mira A. Parallel hierarchical sampling: A general-purpose interacting Markov chains Monte Carlo algorithm. Comput Stat Data Anal 2012. [DOI: 10.1016/j.csda.2011.11.020] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
3
Mira A. Ordering and Improving the Performance of Monte Carlo Markov Chains. Stat Sci 2001. [DOI: 10.1214/ss/1015346319] [Citation(s) in RCA: 86] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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