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Exact Goodness-of-Fit Tests for Markov Chains

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  • J. Besag
  • D. Mondal

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  • J. Besag & D. Mondal, 2013. "Exact Goodness-of-Fit Tests for Markov Chains," Biometrics, The International Biometric Society, vol. 69(2), pages 488-496, June.
  • Handle: RePEc:bla:biomet:v:69:y:2013:i:2:p:488-496
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    File URL: http://hdl.handle.net/10.1111/biom.12009
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    References listed on IDEAS

    as
    1. McCausland, William J., 2007. "Time reversibility of stationary regular finite-state Markov chains," Journal of Econometrics, Elsevier, vol. 136(1), pages 303-318, January.
    2. P. J. Avery & D. A. Henderson, 1999. "Fitting Markov chain models to discrete state series such as DNA sequences," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 48(1), pages 53-61.
    3. Christopher Chatfield, 1973. "Statistical Inference Regarding Markov Chain Models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 22(1), pages 7-20, March.
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    Cited by:

    1. Federico A. Bugni & Jackson Bunting & Takuya Ura, 2020. "Testing homogeneity in dynamic discrete games in finite samples," Papers 2010.02297, arXiv.org, revised Aug 2024.
    2. Stella C Watson & Yan Liu & Robert B Lund & Jenna R Gettings & Shila K Nordone & Christopher S McMahan & Michael J Yabsley, 2017. "A Bayesian spatio-temporal model for forecasting the prevalence of antibodies to Borrelia burgdorferi, causative agent of Lyme disease, in domestic dogs within the contiguous United States," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-22, May.
    3. Taisuke Otsu & Martin Pesendorfer & Yuya Takahashi, 2016. "Pooling data across markets in dynamic Markov games," Quantitative Economics, Econometric Society, vol. 7(2), pages 523-559, July.
    4. Daniel F. Otero-Leon & Mariel S. Lavieri & Brian T. Denton & Jeremy Sussman & Rodney A. Hayward, 2023. "Monitoring policy in the context of preventive treatment of cardiovascular disease," Health Care Management Science, Springer, vol. 26(1), pages 93-116, March.

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