Bruno Sericola Markov Chains. Theory and Applications
Купить за 12839 RUR
Markov chains are a fundamental class of stochastic processes. They are widely used to solve problems in a large number of domains such as operational research, computer science, communication networks and manufacturing systems. The success of Markov chains is mainly due to their simplicity of use,
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Paul A. Gagniuc Markov Chains
Купить за 11723.87 RUR
A fascinating and instructive guide to Markov chains for experienced users and newcomers alike This unique guide to Markov chains approaches the subject along the four convergent lines of mathematics, implementation, simulation, and experimentation. It introduces readers to the art of stochastic
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Carl Graham Markov Chains
Купить за 9462.06 RUR
Markov Chains: Analytic and Monte Carlo Computations introduces the main notions related to Markov chains and provides explanations on how to characterize, simulate, and recognize them. Starting with basic notions, this book leads progressively to advanced and recent topics in the field, allowing
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Группа авторов Markov Processes and Applications
Купить за 9246.99 RUR
This well-written book provides a clear and accessible treatment of the theory of discrete and continuous-time Markov chains, with an emphasis towards applications. The mathematical treatment is precise and rigorous without superfluous details, and the results are immediately illustrated in
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Poggiolini Laura A First Course in Probability and Markov Chains
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Provides an introduction to basic structures of probability with a view towards applications in information technology A First Course in Probability and Markov Chains presents an introduction to the basic elements in probability and focuses on two main areas. The first part explores notions and
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Gunter Bolch Queueing Networks and Markov Chains
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Critically acclaimed text for computer performance analysis–now in its second edition The Second Edition of this now-classic text provides a current and thorough treatment of queueing systems, queueing networks, continuous and discrete-time Markov chains, and simulation. Thoroughly updated with new
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Moyal Pascal Stochastic Modeling and Analysis of Telecom Networks
Купить за 18196.28 RUR
This book addresses the stochastic modeling of telecommunication networks, introducing the main mathematical tools for that purpose, such as Markov processes, real and spatial point processes and stochastic recursions, and presenting a wide list of results on stability, performances and comparison
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Bruno de Finetti Theory of Probability
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First issued in translation as a two-volume work in 1975, this classic book provides the first complete development of the theory of probability from a subjectivist viewpoint. It proceeds from a detailed discussion of the philosophical mathematical aspects to a detailed mathematical treatment of
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R. Cairoli Sequential Stochastic Optimization
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Sequential Stochastic Optimization provides mathematicians and applied researchers with a well-developed framework in which stochastic optimization problems can be formulated and solved. Offering much material that is either new or has never before appeared in book form, it lucidly presents a
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Romain Azais Statistical Inference for Piecewise-deterministic Markov Processes
Купить за 11161 RUR
Piecewise-deterministic Markov processes form a class of stochastic models with a sizeable scope of applications: biology, insurance, neuroscience, networks, finance… Such processes are defined by a deterministic motion punctuated by random jumps at random times, and offer simple yet challenging
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Anatoliy Swishchuk Random Motions in Markov and Semi-Markov Random Environments 2
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This book is the second of two volumes on random motions in Markov and semi-Markov random environments. This second volume focuses on high-dimensional random motions. This volume consists of two parts. The first expands many of the results found in Volume 1 to higher dimensions. It presents new
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Anatoliy Swishchuk Random Motions in Markov and Semi-Markov Random Environments 1
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