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On the Sensitivity of Bayes Factors to the Prior Distributions

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  • Sinharay S.
  • Stern H.S.

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  • Sinharay S. & Stern H.S., 2002. "On the Sensitivity of Bayes Factors to the Prior Distributions," The American Statistician, American Statistical Association, vol. 56, pages 196-201, August.
    • Handle: RePEc:bes:amstat:v:56:y:2002:m:august:p:196-201
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    Cited by:

    1. Bauwens, Luc & Dufays, Arnaud & Rombouts, Jeroen V.K., 2014. "Marginal likelihood for Markov-switching and change-point GARCH models," Journal of Econometrics, Elsevier, vol. 178(P3), pages 508-522.
    2. Yang Song & Yawen Wang & Dahai Jin, 2020. "A Bayesian Approach Based on Bayes Minimum Risk Decision for Reliability Assessment of Web Service Composition," Future Internet, MDPI, vol. 12(12), pages 1-20, December.
    3. R. Klein Entink & J.-P. Fox & W. Linden, 2009. "A Multivariate Multilevel Approach to the Modeling of Accuracy and Speed of Test Takers," Psychometrika, Springer;The Psychometric Society, vol. 74(1), pages 21-48, March.
    4. J. G. Liao & Duanping Liao & Arthur Berg, 2016. "Calibrated Bayes Factors in Assessing Genetic Association Models," The American Statistician, Taylor & Francis Journals, vol. 70(3), pages 250-256, July.
    5. Jean-Paul Fox & Joris Mulder & Sandip Sinharay, 2017. "Bayes Factor Covariance Testing in Item Response Models," Psychometrika, Springer;The Psychometric Society, vol. 82(4), pages 979-1006, December.
    6. Sheng, Yanyan, 2008. "Markov Chain Monte Carlo Estimation of Normal Ogive IRT Models in MATLAB," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 25(i08).
    7. Deborah Gefang, 2012. "Money‐output Causality Revisited – A Bayesian Logistic Smooth Transition VECM Perspective," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(1), pages 131-151, February.
    8. Sheng, Yanyan, 2008. "A MATLAB Package for Markov Chain Monte Carlo with a Multi-Unidimensional IRT Model," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 28(i10).
    9. Johnson, Matthew S., 2007. "Marginal Maximum Likelihood Estimation of Item Response Models in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 20(i10).

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