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Asymptotic expansions of posterior expectations, distributions and densities for stochastic processes

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  • Martin Crowder

Abstract

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Suggested Citation

  • Martin Crowder, 1988. "Asymptotic expansions of posterior expectations, distributions and densities for stochastic processes," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 40(2), pages 297-309, June.
    • Handle: RePEc:spr:aistmt:v:40:y:1988:i:2:p:297-309
    DOI: 10.1007/BF00052346
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    Cited by:

    1. Ana Beatriz Galvão & Liudas Giraitis & George Kapetanios & Katerina Petrova, 2015. "A Bayesian Local Likelihood Method for Modelling Parameter Time Variation in DSGE Models," Working Papers 770, Queen Mary University of London, School of Economics and Finance.
    2. Dasgupta, Shibasish & Khare, Kshitij & Ghosh, Malay, 2014. "Asymptotic expansion of the posterior density in high dimensional generalized linear models," Journal of Multivariate Analysis, Elsevier, vol. 131(C), pages 126-148.
    3. Frank Schorfheide, 2000. "Loss function-based evaluation of DSGE models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 645-670.
    4. Sungbae An & Frank Schorfheide, 2007. "Bayesian Analysis of DSGE Models," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 113-172.
    5. Ana Beatriz Galvão & Liudas Giraitis & George Kapetanios & Katerina Petrova, 2015. "A Bayesian Local Likelihood Method for Modelling Parameter Time Variation in DSGE Models," Working Papers 770, Queen Mary University of London, School of Economics and Finance.
    6. Kim, Jae-Young, 2012. "Model selection in the presence of nonstationarity," Journal of Econometrics, Elsevier, vol. 169(2), pages 247-257.
    7. Kim, Jae-Young, 2014. "An alternative quasi likelihood approach, Bayesian analysis and data-based inference for model specification," Journal of Econometrics, Elsevier, vol. 178(P1), pages 132-145.

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