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Resampling from the past to improve on MCMC algorithms


  • Yves Atchade

    () (Department of Mathematics and Statistics, University of Ottawa and LRSP)


We introduce the idea that resampling from past observations in a Markov Chain Monte Carlo sampler can fasten convergence. We prove that proper resampling from the past does not disturb the limit distribution of the algorithm. We illustrate the method with two examples. The first on a Bayesian analysis of stochastic volatility models and the other on Bayesian phylogeny reconstruction.

Suggested Citation

  • Yves Atchade, 2006. "Resampling from the past to improve on MCMC algorithms," RePAd Working Paper Series LRSP-WP2, Département des sciences administratives, UQO.
  • Handle: RePEc:pqs:wpaper:062006

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    File Function: First version, 2006
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    References listed on IDEAS

    1. Francois-Éric Racicot & Raymond Théoret, 2008. "Optimal Instrumental Variables Generators Based on Improved Hausman Regression, with an Application to Hedge Funds Returns," RePAd Working Paper Series UQO-DSA-wp012008, Département des sciences administratives, UQO.
    2. Keim, Donald B., 1983. "Size-related anomalies and stock return seasonality : Further empirical evidence," Journal of Financial Economics, Elsevier, vol. 12(1), pages 13-32, June.
    3. Francois-Éric Racicot, 2007. "Techniques alternatives d’estimation et tests en présence d’erreurs de mesure sur les variables explicatives," RePAd Working Paper Series UQO-DSA-wp022007, Département des sciences administratives, UQO.
    4. Francois-Éric Racicot, 2000. "Estimation et tests en présence d'erreurs de mesure sur les variables explicatives : vérification empirique par la méthode de simulation Monte Carlo," RePAd Working Paper Series UQO-DSA-wp022008, Département des sciences administratives, UQO.
    5. Coen, Alain & Racicot, Francois-Eric, 2007. "Capital asset pricing models revisited: Evidence from errors in variables," Economics Letters, Elsevier, vol. 95(3), pages 443-450, June.
    6. Grüne, Lars & Semmler, Willi, 2008. "Asset pricing with loss aversion," Journal of Economic Dynamics and Control, Elsevier, vol. 32(10), pages 3253-3274, October.
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    More about this item


    Monte Carlo methods; Resampling; Stochastic volatility models; Bayesian phylogeny reconstruction.;

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General

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