Exact Goodness-of-Fit Tests for Markov Chains
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- McCausland, William J., 2007.
"Time reversibility of stationary regular finite-state Markov chains,"
Journal of Econometrics, Elsevier, vol. 136(1), pages 303-318, January.
- McCAUSLAND, William J., 2004. "Time Reversibility of Stationary Regular Finite State Markov Chains," Cahiers de recherche 09-2004, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
- McCAUSLAND, William, 2004. "Time Reversibility of Stationary Regular Finite State Markov Chains," Cahiers de recherche 2004-07, Universite de Montreal, Departement de sciences economiques.
- 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.
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- 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.
- 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.
- 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.
- Taisuke Otsu & Martin Pesendorfer & Yuya Takahashi, 2015. "Pooling data across markets in dynamic Markov games," STICERD - Econometrics Paper Series /2015/582, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Otsu, Taisuke & Pesendorfer, Martin & Takahashi, Yuya, 2016. "Pooling data across markets in dynamic Markov games," LSE Research Online Documents on Economics 66182, London School of Economics and Political Science, LSE Library.
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