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Volumn 9, Issue , 2004, Pages 140-151

Geometric ergodicity and perfect simulation

Author keywords

CFTP; Domcftp; Geometric ergodicity; Geometric Foster Lyapunov condition; Markov chain Monte Carlo; Perfect simulation; Uniform ergodicity

Indexed keywords


EID: 9744225015     PISSN: None     EISSN: 1083589X     Source Type: Journal    
DOI: 10.1214/ECP.v9-1117     Document Type: Article
Times cited : (25)

References (21)
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  • 2
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  • 4
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  • 9
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    • A mixture representation of w with applications in Markov chain Monte Carlo and perfect sampling
    • Hobert, J. P. and C. P. Robert [2004]. A mixture representation of w with applications in Markov chain Monte Carlo and perfect sampling. The Annals of Applied Probability 14(3), 1295-1305.
    • (2004) The Annals of Applied Probability , vol.14 , Issue.3 , pp. 1295-1305
    • Hobert, J.P.1    Robert, C.P.2
  • 10
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    • Conference presentation at IMS meeting on Monte Carlo Markov chain methods in Singapore, Department of Mathematics, Duke University
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  • 11
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    • Kendall, W.S.1
  • 12
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    • Kendall, W. S. and J. Mpller [2000, September]. Perfect simulation using dominating processes on ordered state spaces, with application to locally stable point processes. Advances in Applied Probability 32(3), 844-865.
    • (2000) Advances in Applied Probability , vol.32 , Issue.3 , pp. 844-865
    • Kendall, W.S.1    Mpller, J.2
  • 16
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.