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Time Reversibility of Stationary Regular Finite State Markov Chains Author info | Abstract | Publisher info | Download info | Related research | Statistics McCAUSLAND, William
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We propose an alternate parameterization of stationary regular finite-state Markov chains, and a decomposition of the parameter into time reversible and time irreversible parts. We demonstrate some useful properties of the decomposition, and propose an index for a certain type of time irreversibility. Two empirical examples illustrate the use of the proposed parameter, decomposition and index. One involves observed states; the other, latent states.
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Paper provided by Universite de Montreal, Departement de sciences economiques in its series Cahiers de recherche with number
2004-07.
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Length: 24 pages
Date of creation: 2004Date of revision:
Handle: RePEc:mtl:montde:2004-07Contact details of provider: Postal: CP 6128, Succ. Centre-Ville, Montr�al, Qu�bec, H3C 3J7 Phone: (514) 343-6540 Fax: (514) 343-5831 Web page: http://www.sceco.umontreal.ca More information through EDIRC
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Keywords: Finite-state Markov chains Time reversibility Bayesian inference Hidden Markov Models Other versions of this item:
Find related papers by JEL classification: C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Bayesian Analysis C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Estimation C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
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Papers
2000-18, Institut National de la Statistique et des Etudes Economiques-.
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