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Advanced Markov chain Monte Carlo methods learning from past samples

Liang, F. (Faming), 1970-
Hoboken, NJ : Wiley, 2010. 2010

American-type options : stochastic approximation methods. Volume 1

Silvestrov, Dmitrii S.
Berlin : De Gruyter, [2014] 2014

Applications of Markov chains in chemical engineering

Tamir, Abraham.
Amsterdam [Netherlands] ; New York : Elsevier, 1998. 1998

Bayesian decision problems and Markov chains

Martin, J. J. (James John)
New York : Wiley, c1967. 1967

Bioinformatics the machine learning approach

Baldi, Pierre.
Cambridge, Mass. : MIT Press, c2001. 2001

Brownian motion fluctuations, dynamics, and applications

Mazo, Robert M.
Oxford : Clarendon Press, 2002. 2002

Competitive Markov decision processes : with 57 illustrations

Filar, Jerzy A., 1949- author.
New York : Springer, [1997] 1997

Conformal graph directed Markov systems on Carnot groups

Chousionis, Vasilionis, 1980- author.
Providence, Rhode Island : American Mathematical Society, [2020] 2020

Decentralised reinforcement learning in Markov games

Vrancx, Peter.
Brussel, Belgium : VUBPress, 2010. 2010

Degenerate diffusion operators arising in population biology

Epstein, Charles L.
Princeton : Princeton University Press, 2013. 2013

Dirichlet forms and symmetric Markov processes

Fukushima, Masatoshi, 1935-
Berlin ; New York : De Gruyter, c2010. 2010

Dirichlet forms and symmetric Markov processes

Fukushima, Masatoshi, 1935-
Berlin ; New York : W. de Gruyter, 1994. 1994

Distribution theory of runs and patterns and its applications a finite Markov chain imbedding approa

Fu, James C.
River Edge, N.J. : World Scientific, c2003. 2003

Dynamic programming and inventory control

Bensoussan, Alain.
Washington, D.C. : IOS Press, 2011. 2011

Examples in Markov decision processes

Piunovskiy, A. B.
London : Imperial College Press ; Singapore ; Hackensack, NJ : Distributed by World Scientific Pub., c2013. 2013

Extremal problems and inequalities of Markov-Bernstein type for algebraic polynomial

Gardner, Robert B., author.
London, UK : Academic Press, an imprint of Elsevier, 2022. 2022

Finitary measures for subshifts of finite type and sofic systems

Kitchens, Bruce, 1953- author.
Providence, Rhode Island : American Mathematical Society, 1985. 1985

Finite Markov chains and algorithmic applications

Haggstrom, Olle.
Cambridge ; New York : Cambridge University Press, 2002. 2002

Fractional dynamics on networks and lattices

Michelitsch, Thomas, author.
Hoboken, New Jersey : ISTE : Wiley, 2019. 2019

From Markov chains to non-equilibrium particle systems

Chen, Mufa.
River Edge, N.J. ; Hong Kong : World Scientific, c2004. 2004

Handbook for Markov chain Monte Carlo

Boca Raton, Fla. : Taylor & Francis, 2011. 2011

Hidden Markov processes : theory and applications to biology

Vidyasagar, M. (Mathukumalli), 1947- author.
Princeton, New Jersey ; Oxford, England : Princeton University Press, 2014. 2014

Hidden Semi-Markov models : theory, algorithms and applications

Yu, Shun-Zheng, author.
©2016 2016

Hitting probabilities of single points for processes with stationary independent increments

Kesten, Harry, 1931- author.
Providence : American Mathematical Society, 1969. 1969

An inductive logic programming approach to statistical relational learning

Kersting, Kristian.
Amsterdam ; Washington, D.C. : IOS Press, c2006. 2006

Introduction to finite Markov chains

Lewis, Richard L.
1962. 1962

Labelled Markov processes

Panangaden, P. (Prakash)
London : Imperial College Press, c2009. 2009

Large deviations for additive functionals of Markov chains

Acosta, Alejandro D. de, 1941- author.
Providence, Rhode Island : American Mathematical Society, 2013. 2013

Limit theorems for functionals of ergodic Markov chains with general state space

Chen, Xia, 1956- author.
Providence, Rhode Island : American Mathematical Society, [1999] 1999

Limit theorems for null recurrent Markov processes

Hopfner, R. (Reinhard), 1955- author.
Providence, Rhode Island : American Mathematical Society, [2003] 2003

Markov chain Monte Carlo innovations and applications

Singapore ; Hackensack, NJ : World Scientific, c2005. 2005

Markov chains : analytic and Monte Carlo computations

Graham, C. (Carl), author.
West Sussex, England : John Wiley & Sons, 2014. 2014

Markov chains theory, algorithms and applications

Sericola, Bruno.
London : ISTE, 2013. 2013

Markov chains : from theory to implementation and experimentation

Gagniuc, Paul A., author.
Hoboken, New Jersey : Wiley, 2017. 2017

Markov chains : Gibbs fields, Monte Carlo simulation, and queues

Bremaud, Pierre, author.
New York, [New York] : Springer, 1999. 1999

Markov learning models for multiperson interactions,

Suppes, Patrick, 1922-2014.
Stanford, Calif., Stanford University Press, 1960. 1960

Markov-modulated processes & semiregenerative phenomena

Pacheco, Antonio, 1964-
Singapore ; Hackensack, N.J. : World Scientific, c2009. 2009

Markov processes and applications

Jacob, Niels.
London : Imperial College Press, 2005. 2005

Markov processes and applications algorithms, networks, genome and finance

Pardoux, E. (Etienne), 1947-
Chichester, U.K. : Wiley/Dunod, 2008. 2008

Markov processes, Feller semigroups and evolution equations

Casteren, J. A. van.
Hackensack, N.J. : World Scientific, 2011. 2011

Markov processes for stochastic modeling

Ibe, Oliver C. (Oliver Chukwudi), 1947- author.
London : Elsevier, 2013. 2013

Markov processes for stochastic modeling

Ibe, Oliver C.
Amsterdam, Netherlands : Elsevier, c2013. 2013

Markov processes from K. Ito's perspective

Stroock, Daniel W., author.
Princeton, New Jersey ; Oxfordshire, England : Princeton University Press, 2003. 2003

Markov processes, semigroups, and generators

Kolokoltsov, V. N. (Vasilii Nikitich)
Berlin ; New York : De Gruyter, c2011. 2011

A Markov view of bank consolidation, 1960-2000

Robertson, Douglas D.
Washington, DC : U.S. Office of the Comptroller of the Currency, [2001] 2001

On the existence of Feller semigroups with boundary conditions

Taira, Kazuaki, author.
Providence, Rhode Island : American Mathematical Society, 1992. 1992

Theory of Markov processes.

Dynkin, E. B. (Evgenii Borisovich), 1924-2014.
Englewood Cliffs, N.J., Prentice-Hall, 1961 [c1960] 1961

Parallel algorithms for simulating continuous time Markov chains

Nicol, David M.
Hampton, Va. : National Aeronautics and Space Administration, Langley Research Center, Institute for Computer Applications in Science and Engineering, [1992] 1992

A power law of order 1/4 for critical mean field Swendsen-Wang dynamics

Providence, Rhode Island : American Mathematical Society, [2014] 2014

Pseudo differential operators & Markov processes.

Jacob, Niels.
London : Imperial College Press ; River Edge, NJ : distributed by World Scientific, c2001. 2001