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Ïîèñê êíèã, ñîäåðæàùèõ: Markov property



ÊíèãàÑòðàíèöû äëÿ ïîèñêà
Taylor M.E. — Partial Differential Equations. Qualitative studies of linear equations (vol. 2)323
Gray R.M. — Probability, Random Processes and Ergodic Properties119
Doob J.L. — Stochastic processes81
Kitchens B.P. — Symbolic dynamics: one-sided, two-sided and countable state markov shifts.8
Ito K. — Encyclopedic Dictionary of Mathematics. Vol. 2261.B
Oksendal B. — Stochastic differential equations : an introduction with applications109
Meyn S.P., Tweedie R.L. — Markov Chains and Stochastic Stability69
Fishman G.S. — Monte Carlo: concepts, algorithms, and applications338, 572
Lindsey J.K. — Applying generalized linear models91
Hull J. — Options, Futures, and Other Derivative Securities191, 401, 402
Föllmer H., Schied A. — Stochastic finance302
Clote P., Backofen R. — Computational Molecular Biology140—141, 176
Bailey N.T.J. — The Elements of Stochastic Processes With Applications to the Natural Sciences.38, 66
Rotman J.J. — An Introduction to the Theory of Groups468
Winkler G. — Stochastic Integrals9.1.11, 11.3.2, 12.5
Skorokhod A.V., Prokhorov Y.V. (Ed) — Basic Principles and Applications of Probability Theory125
Wilmott P., Bowison S., DeWynne J. — Option Pricing: Mathematical Models and Computation24
Thorisson H. — Coupling, Stationarity, and Regeneration39
Honerkamp J. — Statistical Physics157
Kay S.M. — Intuitive Probability and Random Processes using MATLAB267, 735
Polyanin A., Manzhirov A.V. — Handbook of Mathematics for Engineers and Scientists1075
Breuer L., Baum D. — Introduction to Queueing Theory and Matrix-Analytic Methods9, 39
Cappe O., Ryden T., Moulines E. — Inference in Hidden Markov Models39
Wise G.L., Hall E.B. — Counterexamples in Probability and Real Analysis22, 28, 147, 148, 161, 179, 191, 192
Hunt P.J., Kennedy J. — Financial Derivatives in Theory and Practice26—30, 33, 116, 134
Ash R.B. — Information theory171
Oksendal B. — Stochastic Differential Equations: An Introduction With Applications115
Malliaris A.G., Brock W.A. — Stochastic methods in economics and finance36, 39, 41, 99, 144—145
Marcus M., Rosen J. — Markov Processes, Gaussian Processes and Local Times19, 62
Shiryaev A., Peskir G. — Optimal Stopping and Free-Boundary Problems91
Domb C., Lebowitz J.L. — Phase Transitions and Critical Phenomena (Vol. 19)5, 17
Ito K. — Encyclopedic Dictionary of Mathematics261.B
Taylor J.C. — An Introduction to Measure and Probability127, 226
Fukushima M. — Dirichlet forms and markov process88
Dupacova J., Hurt J., Stepan J. — Stochastic Modeling in Economics and Finance121
Semple Ch., Steel M. — Phylogenetics185
Berry D.A., Fristedt B. — Bandit problems173
Kumar P.R., Varaiya P. — Stochastic Systems: Estimation, Identification, and Adaptive Control21
Shanbhag D.N. (ed.), Rao C.R. (ed.) — Stochastic Processes - Modelling and Simulation530
Chan T., Shen J. — Image Processing and Analysis: Variational, PDE, Wavelet, and Stochastic Methods120, 307
Bingham N.H., Goldie C.M., Teugels J.L. — Regular variation358, 387, 390
Beckenbach E.F. (editor), Polya G., Lehmer D.H. and others — Applied combinatorial mathematics287, 292
Gardiner C.W., Zoller P. — Quantum Noise: A Handbook of Markovian and Non-Markovian Quantum Stochastic Methods with Applications to Quantum Optics130
Port S.C., Stone C.J. — Brownian motion and classical potential theory7
Feller W. — Introduction to probability theory and its applications (Volume II)8—9
Grimmett G., Stirzaker D. — Probability and Random Processes214, 256
Araki H. (ed.), Ezawa H. (ed.) — Topics in the Theory of Schrödinger Operators208
Ash R.B., Doléans-Dade C.A. — Probability and Measure Theory369, 414
Risken H. — The Fokker-Planck equation: methods of solution and applications59f
Emanuel Parzen — Stochastic processes (Classics in Applied Mathematics)194, 214
Baldi P., Mazliak L., Priouret P. — Martingales and Markov Chains: Solved Exercises and Elements of Theory73, 77
Kigami J. — Analysis on Fractals42, 56, 93, 162, 202
Gordon H. — Discrete Probability210
Sutton R.S., Barto A.G. — Reinforcement Learning61—65, 82, 130, 258—259
Balakrishnan N. (ed.), Rao C.R. (ed.) — Order Statistics - Theory and Methods522, 529, 544
Gardiner C.W. — Quantum Noise140
Wilmott P., Howison S., Dewynne J. — The Mathematics of Financial Derivatives : A Student Introduction24
Durrett R. — Probability: Theory and Examples285
van Dijk N. — Handbook of Statistics 16: Order Statistics: Theory & Methods522, 529, 544
Rosenblatt M. — Random processes36ff., 64, 66, 121ff.
Antoine J.-P. (ed.), Tirapegui E. (ed.) — Functional Integration: Theory and Applications176, 179
Dynkin E.B., Yushkevich A.A. — Markov processes; theorems and problems46, 70, 120, 148, 152, 202 (see also Strong Markov property)
Seneta E. — Non-negative matrices: an introduction to theory and application85
Alicki R., Lendi K. — Quantum Dynamical Semigroups And Applications7
Beckenbach E.F. (ed.) — Applied Combinatorial Mathematics287, 292
Cooper R.B. — Introduction to queueing theory37, 43
Streater R.F. — Statistical Dynamics: A Stochastic Approach to Nonequilibrium Thermodynamics6, 57
Kloeden P/, Platen E., Schurz H. — Numerical solution of SDE through computer experiments43
Peszat S., Zabczyk J. — Stochastic partial differential equations with Levy noise: An evolution equation approach167
Bharucha-Reid A.T. — Elements of the Theory of Markov Processes and Their Applications11
Revuz D., Yor M. — Continuous martingales and Brownian motion83, 94
Vanmarcke Erik — Random Fields : Analysis and Synthesis69—70, 121
Dynkin E. — An Introduction to Branching Measure-Valued Processes27
Malyshev V.A., Minlos R.A. — Gibbs Random Fields: Cluster Expansions (Mathematics and its Applications)7
Lindblat G. — Non-equilibrium entropy and irreversibility60, 73, 138
Honerkamp J. — Statistical physics: an advanced approach with applications157
Lyndon R., Schupp P. — Combinatorial Group Theory (Classics in Mathematics)192
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