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Books on the topic 'Invariant distribution of Markov processes'

Author: Grafiati

Published: 23 November 2024

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1

Hernández-Lerma, O. Markov Chains and Invariant Probabilities. Basel: Birkhäuser Basel, 2003.

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2

Liao, Ming. Invariant Markov Processes Under Lie Group Actions. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92324-6.

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3

Carlsson, Niclas. Markov chains on metric spaces: Invariant measures and asymptotic behaviour. Åbo: Åbo Akademi University Press, 2005.

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4

Banjevic, Dragan. Recurrent relations for distribution of waiting time in Markov chain. [Toronto]: University of Toronto, Department of Statistics, 1994.

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5

service), SpringerLink (Online, ed. Measure-Valued Branching Markov Processes. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2011.

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6

Oswaldo Luiz do Valle Costa. Continuous Average Control of Piecewise Deterministic Markov Processes. New York, NY: Springer New York, 2013.

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7

Feinberg, Eugene A. Handbook of Markov Decision Processes: Methods and Applications. Boston, MA: Springer US, 2002.

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8

Ulrich, Rieder, and SpringerLink (Online service), eds. Markov Decision Processes with Applications to Finance. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2011.

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9

Taira, Kazuaki. Semigroups, Boundary Value Problems and Markov Processes. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004.

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10

Milch, Paul R. FORECASTER, a Markovian model to analyze the distribution of Naval Officers. Monterey, Calif: Naval Postgraduate School, 1990.

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11

Chang, Hyeong Soo. Simulation-Based Algorithms for Markov Decision Processes. 2nd ed. London: Springer London, 2013.

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12

Ching, Wai-Ki. Markov Chains: Models, Algorithms and Applications. 2nd ed. Boston, MA: Springer US, 2013.

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13

Komorowski, Tomasz. Fluctuations in Markov Processes: Time Symmetry and Martingale Approximation. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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14

Jerrum, Mark. Uniform sampling modulo a group of symmetries using Markov chain simulation. Edinburgh: LFCS, Dept. of Computer Science, University of Edinburgh, 1993.

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15

Costa, Oswaldo Luiz Valle. Discrete-Time Markov Jump Linear Systems. London: Springer London, 2005.

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16

Lang, Andreas. Parameter estimation for phase-type distributions. Corvallis, OR: Dept. of Statistics, Oregon State University, 1994.

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17

Fu, James C. Distribution theory of runs and patterns and its applications: A finite markow chain imbedding approach. Singapore: World Scientific, 2003.

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18

Lang, Andreas. Parameter estimation for phase-type distributions. Corvallis, OR: Dept. of Statistics, Oregon State University, 1994.

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19

Wendy, Lou W. Y., ed. Distribution theory of runs and patterns and its application. River Edge, N.J: World Scientific, 2003.

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20

Sinclair, Alistair. Algorithms for Random Generation and Counting: A Markov Chain Approach. Boston, MA: Birkhäuser Boston, 1993.

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21

Dayar, Tuğrul. Analyzing Markov Chains using Kronecker Products: Theory and Applications. New York, NY: Springer New York, 2012.

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22

Costa, Oswaldo L. V. Continuous-Time Markov Jump Linear Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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23

Grassmann, Winfried K. Computational Probability. Boston, MA: Springer US, 2000.

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24

N, Limnios, ed. Semi-Markov chains and hidden semi-Markov models toward applications: Their use in reliability and DNA analysis. New York: Springer, 2008.

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25

Yin, George. Continuous-Time Markov Chains and Applications: A Two-Time-Scale Approach. 2nd ed. New York, NY: Springer New York, 2013.

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26

Nicola, Bruti-Liberati, ed. Numerical solution of stochastic differential equations with jumps in finance. Berlin: Springer-Verlag, 2010.

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27

Le Jan, Y. (Yves), 1952- and Li X.-M. (Xue-Mei) 1964-, eds. The geometry of filtering. Basel: Birkhäuser, 2010.

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28

Antonelli, P. L. Fundamentals of Finslerian Diffusion with Applications. Dordrecht: Springer Netherlands, 1999.

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29

Gimel'farb, Georgy L. Image Textures and Gibbs Random Fields. Dordrecht: Springer Netherlands, 1999.

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30

George, Casella, and SpringerLink (Online service), eds. Introducing Monte Carlo Methods with R. New York, NY: Springer Science+Business Media, LLC, 2010.

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31

Invariant Probabilities of Markov-Feller Operators and Their Supports. Birkhauser Verlag, 2007.

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32

Liao, Ming. Invariant Markov Processes Under Lie Group Actions. Springer, 2018.

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33

Liao, Ming. Invariant Markov Processes Under Lie Group Actions. Springer, 2018.

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34

Lawler, Gregory F. Conformally Invariant Processes in the Plane. American Mathematical Society, 2008.

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35

Hernández-Lerma, Onésimo, and Jean B. Lasserre. Markov Chains and Invariant Probabilities (Progress in Mathematics). Birkhäuser Basel, 2003.

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36

Watanabe, Shinzo, Ichiro Shigekawa, and Kiyosi Itô. Poisson Point Processes and Their Application to Markov Processes. Springer London, Limited, 2016.

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37

Poisson Point Processes and Their Application to Markov Processes. Springer Singapore Pte. Limited, 2016.

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38

Markov Processes and Controlled Markov Chains. Springer, 2011.

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39

Landim, Claudio, Tomasz Komorowski, and Stefano Olla. Fluctuations in Markov Processes. Springer, 2012.

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40

Li, Zenghu. Measure-Valued Branching Markov Processes. Springer, 2012.

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41

Levin, David A., and Yuval Peres. Markov Chains and Mixing Times. American Mathematical Society, 2017.

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42

Measure-Valued Branching Markov Processes. Springer Berlin / Heidelberg, 2023.

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43

Li, Zenghu. Measure-Valued Branching Markov Processes. Springer, 2011.

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44

Applied Semi-Markov Processes. Springer US, 2006.

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45

Lectures from Markov Processes to Brownian Motion. Springer London, Limited, 2013.

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46

Martínez, Servet, Pierre Collet, and Jaime San Martín. Quasi-Stationary Distributions: Markov Chains, Diffusions and Dynamical Systems. Springer, 2014.

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47

Taira, Kazuaki. Semigroups, Boundary Value Problems and Markov Processes. Springer, 2016.

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48

Yue, Wuyi, and Qiying Hu. Markov Decision Processes with Their Applications. Springer, 2010.

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49

Fluctuations in Markov Processes Grundlehren Der Mathematischen Wissenschaften. Springer, 2012.

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50

Bäuerle, Nicole, and Ulrich Rieder. Markov Decision Processes with Applications to Finance. Springer, 2011.

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