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Transdimensional Markov Chains: A Decade of Progress and Future Perspectives

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  • Sisson, Scott A.

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  • Sisson, Scott A., 2005. "Transdimensional Markov Chains: A Decade of Progress and Future Perspectives," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 1077-1089, September.
  • Handle: RePEc:bes:jnlasa:v:100:y:2005:p:1077-1089
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    Cited by:

    1. Michael D. Bauer, 2015. "Restrictions on Risk Prices in Dynamic Term Structure Models," CESifo Working Paper Series 5241, CESifo Group Munich.
    2. repec:eee:ecomod:v:283:y:2014:i:c:p:62-69 is not listed on IDEAS
    3. S. A. Sisson & Y. Fan, 2009. "Towards automating model selection for a mark-recapture-recovery analysis," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 58(2), pages 247-266.
    4. Ntzoufras, Ioannis & Tarantola, Claudia, 2013. "Conjugate and conditional conjugate Bayesian analysis of discrete graphical models of marginal independence," Computational Statistics & Data Analysis, Elsevier, vol. 66(C), pages 161-177.
    5. Komárek, Arnost, 2009. "A new R package for Bayesian estimation of multivariate normal mixtures allowing for selection of the number of components and interval-censored data," Computational Statistics & Data Analysis, Elsevier, vol. 53(12), pages 3932-3947, October.
    6. Elliott, Graham & Gargano, Antonio & Timmermann, Allan, 2013. "Complete subset regressions," Journal of Econometrics, Elsevier, vol. 177(2), pages 357-373.
    7. Iliopoulos, G. & Kateri, M. & Ntzoufras, I., 2007. "Bayesian estimation of unrestricted and order-restricted association models for a two-way contingency table," Computational Statistics & Data Analysis, Elsevier, vol. 51(9), pages 4643-4655, May.
    8. Chen, Langnan & Luo, Jiawen & Liu, Hao, 2013. "The determinants of liquidity with G-RJMCMC-VS model: Evidence from China," Economic Modelling, Elsevier, vol. 35(C), pages 192-198.
    9. N. Friel & A. N. Pettitt, 2008. "Marginal likelihood estimation via power posteriors," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 70(3), pages 589-607.

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