|
|
 |
| Ðåçóëüòàò ïîèñêà |
Ïîèñê êíèã, ñîäåðæàùèõ: Markov property
| Êíèãà | Ñòðàíèöû äëÿ ïîèñêà | | Taylor M.E. — Partial Differential Equations. Qualitative studies of linear equations (vol. 2) | 323 | | Gray R.M. — Probability, Random Processes and Ergodic Properties | 119 | | Doob J.L. — Stochastic processes | 81 | | Kitchens B.P. — Symbolic dynamics: one-sided, two-sided and countable state markov shifts. | 8 | | Ito K. — Encyclopedic Dictionary of Mathematics. Vol. 2 | 261.B | | Oksendal B. — Stochastic differential equations : an introduction with applications | 109 | | Meyn S.P., Tweedie R.L. — Markov Chains and Stochastic Stability | 69 | | Fishman G.S. — Monte Carlo: concepts, algorithms, and applications | 338, 572 | | Lindsey J.K. — Applying generalized linear models | 91 | | Hull J. — Options, Futures, and Other Derivative Securities | 191, 401, 402 | | Föllmer H., Schied A. — Stochastic finance | 302 | | Clote P., Backofen R. — Computational Molecular Biology | 140—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 Groups | 468 | | Winkler G. — Stochastic Integrals | 9.1.11, 11.3.2, 12.5 | | Skorokhod A.V., Prokhorov Y.V. (Ed) — Basic Principles and Applications of Probability Theory | 125 | | Wilmott P., Bowison S., DeWynne J. — Option Pricing: Mathematical Models and Computation | 24 | | Thorisson H. — Coupling, Stationarity, and Regeneration | 39 | | Honerkamp J. — Statistical Physics | 157 | | Kay S.M. — Intuitive Probability and Random Processes using MATLAB | 267, 735 | | Polyanin A., Manzhirov A.V. — Handbook of Mathematics for Engineers and Scientists | 1075 | | Breuer L., Baum D. — Introduction to Queueing Theory and Matrix-Analytic Methods | 9, 39 | | Cappe O., Ryden T., Moulines E. — Inference in Hidden Markov Models | 39 | | Wise G.L., Hall E.B. — Counterexamples in Probability and Real Analysis | 22, 28, 147, 148, 161, 179, 191, 192 | | Hunt P.J., Kennedy J. — Financial Derivatives in Theory and Practice | 26—30, 33, 116, 134 | | Ash R.B. — Information theory | 171 | | Oksendal B. — Stochastic Differential Equations: An Introduction With Applications | 115 | | Malliaris A.G., Brock W.A. — Stochastic methods in economics and finance | 36, 39, 41, 99, 144—145 | | Marcus M., Rosen J. — Markov Processes, Gaussian Processes and Local Times | 19, 62 | | Shiryaev A., Peskir G. — Optimal Stopping and Free-Boundary Problems | 91 | | Domb C., Lebowitz J.L. — Phase Transitions and Critical Phenomena (Vol. 19) | 5, 17 | | Ito K. — Encyclopedic Dictionary of Mathematics | 261.B | | Taylor J.C. — An Introduction to Measure and Probability | 127, 226 | | Fukushima M. — Dirichlet forms and markov process | 88 | | Dupacova J., Hurt J., Stepan J. — Stochastic Modeling in Economics and Finance | 121 | | Semple Ch., Steel M. — Phylogenetics | 185 | | Berry D.A., Fristedt B. — Bandit problems | 173 | | Kumar P.R., Varaiya P. — Stochastic Systems: Estimation, Identification, and Adaptive Control | 21 | | Shanbhag D.N. (ed.), Rao C.R. (ed.) — Stochastic Processes - Modelling and Simulation | 530 | | Chan T., Shen J. — Image Processing and Analysis: Variational, PDE, Wavelet, and Stochastic Methods | 120, 307 | | Bingham N.H., Goldie C.M., Teugels J.L. — Regular variation | 358, 387, 390 | | Beckenbach E.F. (editor), Polya G., Lehmer D.H. and others — Applied combinatorial mathematics | 287, 292 | | Gardiner C.W., Zoller P. — Quantum Noise: A Handbook of Markovian and Non-Markovian Quantum Stochastic Methods with Applications to Quantum Optics | 130 | | Port S.C., Stone C.J. — Brownian motion and classical potential theory | 7 | | Feller W. — Introduction to probability theory and its applications (Volume II) | 8—9 | | Grimmett G., Stirzaker D. — Probability and Random Processes | 214, 256 | | Araki H. (ed.), Ezawa H. (ed.) — Topics in the Theory of Schrödinger Operators | 208 | | Ash R.B., Doléans-Dade C.A. — Probability and Measure Theory | 369, 414 | | Risken H. — The Fokker-Planck equation: methods of solution and applications | 59f | | 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 Theory | 73, 77 | | Kigami J. — Analysis on Fractals | 42, 56, 93, 162, 202 | | Gordon H. — Discrete Probability | 210 | | Sutton R.S., Barto A.G. — Reinforcement Learning | 61—65, 82, 130, 258—259 | | Balakrishnan N. (ed.), Rao C.R. (ed.) — Order Statistics - Theory and Methods | 522, 529, 544 | | Gardiner C.W. — Quantum Noise | 140 | | Wilmott P., Howison S., Dewynne J. — The Mathematics of Financial Derivatives : A Student Introduction | 24 | | Durrett R. — Probability: Theory and Examples | 285 | | van Dijk N. — Handbook of Statistics 16: Order Statistics: Theory & Methods | 522, 529, 544 | | Rosenblatt M. — Random processes | 36ff., 64, 66, 121ff. | | Antoine J.-P. (ed.), Tirapegui E. (ed.) — Functional Integration: Theory and Applications | 176, 179 | | Dynkin E.B., Yushkevich A.A. — Markov processes; theorems and problems | 46, 70, 120, 148, 152, 202 (see also Strong Markov property) | | Seneta E. — Non-negative matrices: an introduction to theory and application | 85 | | Alicki R., Lendi K. — Quantum Dynamical Semigroups And Applications | 7 | | Beckenbach E.F. (ed.) — Applied Combinatorial Mathematics | 287, 292 | | Cooper R.B. — Introduction to queueing theory | 37, 43 | | Streater R.F. — Statistical Dynamics: A Stochastic Approach to Nonequilibrium Thermodynamics | 6, 57 | | Kloeden P/, Platen E., Schurz H. — Numerical solution of SDE through computer experiments | 43 | | Peszat S., Zabczyk J. — Stochastic partial differential equations with Levy noise: An evolution equation approach | 167 | | Bharucha-Reid A.T. — Elements of the Theory of Markov Processes and Their Applications | 11 | | Revuz D., Yor M. — Continuous martingales and Brownian motion | 83, 94 | | Vanmarcke Erik — Random Fields : Analysis and Synthesis | 69—70, 121 | | Dynkin E. — An Introduction to Branching Measure-Valued Processes | 27 | | Malyshev V.A., Minlos R.A. — Gibbs Random Fields: Cluster Expansions (Mathematics and its Applications) | 7 | | Lindblat G. — Non-equilibrium entropy and irreversibility | 60, 73, 138 | | Honerkamp J. — Statistical physics: an advanced approach with applications | 157 | | Lyndon R., Schupp P. — Combinatorial Group Theory (Classics in Mathematics) | 192 |
|
|
|
|
Î ïðîåêòå