Books on the topic 'Markov, Processus de – épidémiologie'
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The construction theory of denumerable Markov processes. Changsha: Hunan Science and Technology Publishing House, 1990.
Find full textFoata, Dominique. Processus stochastiques: Processus de Poisson, chaînes de Markov et martingales : cours et exercices corrigeś. Paris: Dunod, 2004.
Find full textJ, Anderson William. Continuous-time Markov chains: An applications-oriented approach. New York: Springer-Verlag, 1991.
Find full textAsmussen, Søren. Applied probability and queues. Chichester West Sussex: Wiley, 1987.
Find full textApplied probability and queues. 2nd ed. New York: Springer, 2003.
Find full textWhite, D. J. Markov decision processes. New York: John Wiley & Sons, 1993.
Find full textConstrained Markov decision processes. Boca Raton: Chapman & Hall/CRC, 1999.
Find full textKoski, Timo. Hidden Markov models for bioinformatics. Dordrecht: Kluwer Academic Publishers, 2001.
Find full textPrabhu, N. U. (Narahari Umanath), 1924- and Tang Loon Ching, eds. Markov-modulated processes & semiregenerative phenomena. Singapore: World Scientific, 2009.
Find full textR, Gilks W., Richardson S, and Spiegelhalter D. J, eds. Markov chain Monte Carlo in practice. Boca Raton, Fla: Chapman & Hall, 1998.
Find full textR, Gilks W., Richardson S, and Spiegelhalter D. J, eds. Markov chain Monte Carlo in practice. London: Chapman & Hall, 1996.
Find full textChen, Mufa. From Markov chains to non-equilibrium particle systems. 2nd ed. River Edge, N.J: World Scientific, 2004.
Find full textMarkov models and optimization. London: Chapman & Hall, 1993.
Find full textTian, Jianjun Paul. Evolution algebras and their applications. Berlin: Springer, 2008.
Find full textBoundary value problems and Markov processes. 2nd ed. Dordrecht: Springer, 2009.
Find full textGwynne, Ewain. Percolation on uniform quadrangulations and SLE6 on √8/3-Liouville quantum gravity. Paris: Société mathématique de France, 2021.
Find full textBarbu, Vlad Stefan. Semi-Markov chains and hidden semi-Markov models toward applications: Their use in reliability and DNA analysis. New York: Springer, 2008.
Find full textMarkov Decision Processes: Discrete Stochastic Dynamic Programming. Hoboken, NJ, USA: Wiley-Interscience, 2005.
Find full textMarkov decision processes: Discrete stochastic dynamic programming. New York: Wiley, 1994.
Find full textGunter, Bolch, ed. Queueing networks and Markov chains: Modeling and performance evaluation with computer science applications. New York: Wiley, 1998.
Find full text1930-, Kozin F., ed. Probabilistic models of cumulative damage. New York: Wiley, 1985.
Find full textZucchini, W. Hidden Markov models for time series: An introduction using R. Boca Raton: Chapman & Hall/CRC, 2009.
Find full textMarkov chain Monte Carlo simulations and their statistical analysis: With web-based fortran code. Singapore: World Scientific Publishing, 2004.
Find full textJacqueline, Gianini, ed. Modèles probabilistes d'aide à la décision. Sillery, Québec: Presses de l'Université du Québec, 1987.
Find full textMariusz, Urbaʹnski, ed. Graph directed Markov systems: Geometry and dynamics of limit sets. Cambridge: Cambridge University Press, 2003.
Find full textQuantum potential theory. Berlin: Springer, 2008.
Find full textFoata, Dominique, and Aimé Fuchs. Processus stochastiques, processus de poisson: Chaines de Markov et Martingales. Dunod, 2002.
Find full textMeyer, Paul-Andre. Processus de Markov: La Frontiere de Martin. Springer London, Limited, 2007.
Find full textKirkwood, James R. Markov Processes. Taylor & Francis Group, 2015.
Find full textKirkwood, James R. Markov Processes. Taylor & Francis Group, 2015.
Find full textMarkov Processes. Taylor & Francis Group, 2015.
Find full textKirkwood, James R. Markov Processes. Taylor & Francis Group, 2015.
Find full text(Editor), T. Kovary, and D. E. Brown (Translator), eds. Theory of Markov Processes (Dover Books on Mathematics). Dover Publications, 2006.
Find full textCont Markov Chains (Pitman Research Notes in Mathematics). Chapman & Hall/CRC, 1991.
Find full textCoelho, João Paulo, Tatiana M. Pinho, and José Boaventura-Cunha. Hidden Markov Models. Taylor & Francis Group, 2021.
Find full textWalsh, John B., and Kai Lai Chung. Markov Processes, Brownian Motion, and Time Symmetry. Springer London, Limited, 2006.
Find full textAltman, Eitan. Constrained Markov Decision Processes. CRC Press LLC, 2021.
Find full textAltman, Eitan. Constrained Markov Decision Processes. CRC Press LLC, 2021.
Find full textAltman, Eitan. Constrained Markov Decision Processes. CRC Press LLC, 2021.
Find full textNon-negative Matrices and Markov Chains. Springer, 2006.
Find full textLorenzi, Luca, and Marcello Bertoldi. Analytical Methods for Markov Semigroups. Taylor & Francis Group, 2008.
Find full textLorenzi, Luca, and Marcello Bertoldi. Analytical Methods for Markov Semigroups. Taylor & Francis Group, 2006.
Find full textR, Cox D. Theory of Stochastic Processes. CRC Press LLC, 2017.
Find full textCox, D. R. Theory of Stochastic Processes. CRC Press LLC, 2017.
Find full textCox, D. R. Theory of Stochastic Processes. Taylor & Francis Group, 2017.
Find full textCox, D. R. Theory of Stochastic Processes. CRC Press LLC, 2017.
Find full textCoelho, João Paulo, Tatiana M. Pinho, and José Boaventura-Cunha. Hidden Markov Models: Theory and Implementation Using Matlab. Taylor & Francis Group, 2019.
Find full textRichardson, S., David Spiegelhalter, and W. R. Gilks. Markov Chain Monte Carlo in Practice. Taylor & Francis Group, 1995.
Find full textRichardson, S., David Spiegelhalter, and W. R. Gilks. Markov Chain Monte Carlo in Practice. Taylor & Francis Group, 1995.
Find full textCoelho, João Paulo, Tatiana M. Pinho, and José Boaventura-Cunha. Hidden Markov Models: Theory and Implementation Using MATLAB®. Taylor & Francis Group, 2019.
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