Markov Processes, Evgenij Borisovic Dynkin; V. Greenberg; J. Fabius;

Автор: Gallager
Название: Stochastic Processes
ISBN: 1107039754 ISBN-13(EAN): 9781107039759
Издательство: Cambridge Academ
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Цена: 11246.00 р.
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Описание: This definitive textbook provides a solid introduction to stochastic processes, covering both theory and applications. It is written by one of the world`s leading information theorists, evolving over twenty years of graduate classroom teaching, and is accompanied by over 300 exercises, with online solutions for instructors.

Автор: Richard Boucherie; Nico M van Dijk
Название: Markov Decision Processes in Practice
ISBN: 3319477641 ISBN-13(EAN): 9783319477640
Издательство: Springer
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Цена: 30745.00 р.
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Описание: This book presents classical Markov Decision Processes (MDP) for real-life applications and optimization. MDP allows users to develop and formally support approximate and simple decision rules, and this book showcases state-of-the-art applications in which MDP was key to the solution approach.

Автор: Koralov
Название: Theory of Probability and Random Processes
ISBN: 3540254846 ISBN-13(EAN): 9783540254843
Издательство: Springer
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Цена: 8384.00 р.
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Описание: A one-year course in probability theory and the theory of random processes, taught at Princeton University to undergraduate and graduate students, forms the core of the content of this bookIt is structured in two parts: the first part providing a detailed discussion of Lebesgue integration, Markov chains, random walks, laws of large numbers, limit theorems, and their relation to Renormalization Group theory. The second part includes the theory of stationary random processes, martingales, generalized random processes, Brownian motion, stochastic integrals, and stochastic differential equations. One section is devoted to the theory of Gibbs random fields.This material is essential to many undergraduate and graduate courses. The book can also serve as a reference for scientists using modern probability theory in their research.

Автор: Marcus
Название: Markov Processes, Gaussian Processes, and Local Times
ISBN: 1107403758 ISBN-13(EAN): 9781107403758
Издательство: Cambridge Academ
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Цена: 12038.00 р.
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Описание: Two foremost researchers present important advances in stochastic process theory by linking well-understood (Gaussian) and less well-understood (Markov) classes of processes. It builds to this material through `mini-courses` on the relevant ingredients, which assume only measure-theoretic probability. This original, readable 2006 book is for researchers and advanced graduate students.

Название: Fluctuations in Markov Processes
ISBN: 3642428479 ISBN-13(EAN): 9783642428470
Издательство: Springer
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Цена: 13270.00 р.
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Описание: Here are advanced theories on the martingale approach to central limit theorems. Using the time symmetry properties of the Markov processes, the book develops techniques for dealing with infinite dimensional models in statistical mechanics and engineering.

Автор: Taira, Kazuaki
Название: Semigroups, boundary value problems and markov processes
ISBN: 3662436957 ISBN-13(EAN): 9783662436950
Издательство: Springer
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Цена: 16769.00 р.
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Описание: Semigroups, Boundary Value Problems and Markov Processes

Автор: Itф Kiyosi
Название: Poisson Point Processes and Their Application to Markov Proc
ISBN: 9811002711 ISBN-13(EAN): 9789811002717
Издательство: Springer
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Цена: 6986.00 р.
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Описание: An extension problem (often called a boundary problem) of Markov processes has been studied, particularly in the case of one-dimensional diffusion processes, by W. For this, Ito used, as a fundamental tool, the notion of Poisson point processes formed of all excursions of the process on S \ {a}.

Автор: Janssen, Martin
Название: Generated dynamics of markov and quantum processes
ISBN: 3662496941 ISBN-13(EAN): 9783662496947
Издательство: Springer
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Цена: 7965.00 р.
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Описание: This book presents Markov and quantum processes as twosides of a coin called generated stochastic processes. It deals withquantum processes as reversible stochastic processes generated byone-step unitary operators, while Markov processes are irreversible stochasticprocesses generated by one-step stochastic operators.

Автор: N. Limnios; G. Oprisan
Название: Semi-Markov Processes and Reliability
ISBN: 1461266408 ISBN-13(EAN): 9781461266402
Издательство: Springer
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Цена: 14365.00 р.
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Описание: Not even a serious study of the renewal processes is possible without using the strong tool of Markov processes. The semi-Markov processes generalize the renewal processes as well as the Markov jump processes and have numerous applications, especially in relia- bility.

Автор: Dmitrii Silvestrov, Sergei Silvestrov
Название: Nonlinearly perturbed semi-Markov processes /
ISBN: 3319609874 ISBN-13(EAN): 9783319609874
Издательство: Springer
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Цена: 6986.00 р.
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Описание: The book presents new methods of asymptotic analysis for nonlinearly perturbed semi-Markov processes with a finite phase space.

Автор: Hyeong Soo Chang; Jiaqiao Hu; Michael C. Fu; Steve
Название: Simulation-Based Algorithms for Markov Decision Processes
ISBN: 144715990X ISBN-13(EAN): 9781447159902
Издательство: Springer
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Цена: 16977.00 р.
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Описание: The updated 2nd edition of this book covers MDPs in constrained settings and with uncertain transition properties; approximation stochastic annealing, a population-based on-line simulation-based algorithm; game-theoretic method for solving MDPs and more.

Автор: Chang Hyeong Soo
Название: Simulation-based Algorithms for Markov Decision Processes
ISBN: 144715021X ISBN-13(EAN): 9781447150213
Издательство: Springer
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Цена: 19591.00 р.
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Описание: The updated 2nd edition of this book covers MDPs in constrained settings and with uncertain transition properties; approximation stochastic annealing, a population-based on-line simulation-based algorithm; game-theoretic method for solving MDPs and more.