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Volumn 3, Issue 2, 2008, Pages 427-442

On some diffculties with a posterior probability approximation technique

Author keywords

Bayesian model choice; Improperty; Markov chain monte carlo (MCMC); Posterior approximation; Pseudo priors; Reversible jump; Unbiasedness

Indexed keywords


EID: 77956281530     PISSN: 19360975     EISSN: 19316690     Source Type: Journal    
DOI: 10.1214/08-BA316     Document Type: Article
Times cited : (23)

References (15)
  • 1
    • 33644967739 scopus 로고    scopus 로고
    • Efficient Bayes factor estimation from the reversible jump output
    • Bartolucci, F., Scaccia, L., and Mira, A. (2006). "Ecient Bayes factor estimation from the reversible jump output." Biometrika, 93: 41-52.
    • (2006) Biometrika , vol.93 , pp. 41-52
    • Bartolucci, F.1    Scaccia, L.2    Mira, A.3
  • 2
    • 0141688093 scopus 로고    scopus 로고
    • Efficient construction of reversible jump Markov chain Monte Carlo proposal distributions (with discussion)
    • Brooks, S., Giudici, P., and Roberts, G. (2003). "Ecient construction of reversible jump Markov chain Monte Carlo proposal distributions (with discussion)." J. Royal Statist. Society Series B, 65(1): 3-55.
    • (2003) J. Royal Statist. Society Series B , vol.65 , Issue.1 , pp. 3-55
    • Brooks, S.1    Giudici, P.2    Roberts, G.3
  • 3
    • 0000506629 scopus 로고
    • Bayesian model choice through Markov chain Monte Carlo
    • Carlin, B. and Chib, S. (1995). "Bayesian model choice through Markov chain Monte Carlo." J. Royal Statist. Society Series B, 57(3): 473-484.
    • (1995) J. Royal Statist. Society Series B , vol.57 , Issue.3 , pp. 473-484
    • Carlin, B.1    Chib, S.2
  • 4
    • 57349165916 scopus 로고    scopus 로고
    • Bayesian Model Selection for Heteroskedastic Models
    • To appear
    • Chen, C., Gerlach, R., and So, M. (2008). "Bayesian Model Selection for Heteroskedastic Models." Advances in Econometrics, 23. To appear.
    • (2008) Advances in Econometrics , vol.23
    • Chen, C.1    Gerlach, R.2    So, M.3
  • 6
    • 77950637439 scopus 로고    scopus 로고
    • Contemplating Evidence: properties, extensions of, and alternatives to Nested Sampling
    • ArXiv:0801.3887
    • Chopin, N. and Robert, C. (2007). "Contemplating Evidence: properties, extensions of, and alternatives to Nested Sampling." Technical Report 2007-46, CEREMADE, Université Paris Dauphine. ArXiv:0801.3887. 428
    • (2007) Technical Report 2007-46, CEREMADE Université Paris Dauphine
    • Chopin, N.1    Robert, C.2
  • 7
    • 24944555208 scopus 로고    scopus 로고
    • Bayesian model choice based on Monte Carlo estimates of posterior model probabilities
    • Congdon, P. (2006). "Bayesian model choice based on Monte Carlo estimates of posterior model probabilities." Comput. Stat. Data Analysis, 50: 346-357.
    • (2006) Comput. Stat. Data Analysis , vol.50 , pp. 346-357
    • Congdon, P.1
  • 8
    • 33947265275 scopus 로고    scopus 로고
    • Model weights for model choice and averaging
    • (2007). "Model weights for model choice and averaging." Statistical Methodology, 4(2): 143-157.
    • (2007) Statistical Methodology , vol.4 , Issue.2 , pp. 143-157
    • Congdon, P.1
  • 10
    • 0000539315 scopus 로고
    • Bayesian model choice: asymptotics and exact calculations
    • Gelfand, A. and Dey, D. (1994). "Bayesian model choice: asymptotics and exact calculations." J. Royal Statist. Society Series B, 56: 501-514.
    • (1994) J. Royal Statist. Society Series B , vol.56 , pp. 501-514
    • Gelfand, A.1    Dey, D.2
  • 11
    • 0000736067 scopus 로고    scopus 로고
    • Simulating normalizing constants: From importance sampling to bridge sampling to path sampling
    • Gelman, A. and Meng, X. (1998). "Simulating normalizing constants: From importance sampling to bridge sampling to path sampling." Statist. Science, 13: 163-185.
    • (1998) Statist. Science , vol.13 , pp. 163-185
    • Gelman, A.1    Meng, X.2
  • 12
    • 77956889087 scopus 로고
    • Reversible jump MCMC computation and Bayesian model determination
    • Green, P. (1995). "Reversible jump MCMC computation and Bayesian model determination." Biometrika, 82(4): 711-732.
    • (1995) Biometrika , vol.82 , Issue.4 , pp. 711-732
    • Green, P.1
  • 13
    • 0003078723 scopus 로고
    • Approximate Bayesian inference by the weighted likelihood boostrap (with discussion)
    • Newton, M. and Raftery, A. (1994). "Approximate Bayesian inference by the weighted likelihood boostrap (with discussion)." J. Royal Statist. Society Series B, 56: 1-48.
    • (1994) J. Royal Statist. Society Series B , vol.56 , pp. 1-48
    • Newton, M.1    Raftery, A.2
  • 14
    • 0004085467 scopus 로고    scopus 로고
    • Springer-Verlag, New York, second edition
    • Robert, C. (2001). The Bayesian Choice. Springer-Verlag, New York, second edition.
    • (2001) The Bayesian Choice
    • Robert, C.1
  • 15
    • 0036489069 scopus 로고    scopus 로고
    • Bayesian methods for hidden Markov models: recursive computing in the 21st Century
    • Scott, S. L. (2002). "Bayesian methods for hidden Markov models: recursive computing in the 21st Century." J. American Statist. Assoc., 97: 337-351.
    • (2002) J. American Statist. Assoc. , vol.97 , pp. 337-351
    • Scott, S.L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.