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Markov processes

Most popular at the top

  • Elements of the Random Walkby Joseph Rudnick; George Gaspari

    Cambridge University Press 2004; US$ 52.00

    Self-contained introduction to the applications of random walk techniques. more...

  • Markov Processes, Gaussian Processes, and Local Timesby Michael B. Marcus; Jay Rosen

    Cambridge University Press 2006; US$ 72.00

    A readable 2006 synthesis of three main areas in the modern theory of stochastic processes. more...

  • Pseudo Differential Operators And Markov Processes, Volume IIIby Niels Jacob

    World Scientific Publishing Company 2005; US$ 220.00

    This volume concentrates on how to construct a Markov process by starting with a suitable pseudo-differential operator. Feller processes, Hunt processes associated with Lp-sub-Markovian semigroups and processes constructed by using the Martingale problem are at the center of the considerations. The potential theory of these processes is further developed... more...

  • Markov Chains: Models, Algorithms and Applicationsby Wai-Ki Ching; Michael K. Ng

    Springer US 2006; US$ 169.00

    MARKOV CHAINS: Models, Algorithms and Applications outlines recent developments of Markov chain models for modeling queueing sequences, Internet, re-manufacturing systems, reverse logistics, inventory systems, bio-informatics, DNA sequences, genetic networks, data mining, and many other practical systems. The book consists of eight chapters.... more...

  • Applied Semi-Markov Processesby Jacques Janssen; Raimondo Manca

    Springer US 2006; US$ 109.00

    Aims to give to the reader the tools necessary to apply semi-Markov processes in real-life problems. The book is self-contained and, starting from a low level of probability concepts, gradually brings the reader to a deep knowledge of semi-Markov processes. Presents homogeneous and non-homogeneous semi-Markov processes, as well as Markov and semi-Markov... more...

  • Markov Decision Processes with Their Applicationsby Qiying Hu; Wuyi Yue

    Springer US 2007; US$ 169.00

    Markov Decision Processes With Their Applications examines MDPs and their applications in the optimal control of discrete event systems (DESs), optimal replacement, and optimal allocations in sequential online auctions. This book is intended for researchers, mathematicians, advanced graduate students, and engineers who are interested in optimal... more...

  • Browning Agents and Active Particlesby Frank Schweitzer

    Springer 2007; US$ 79.95

    Lays out a vision for a coherent framework for understanding complex systems. By developing the idea of Brownian agents, this work combines concepts from informatics, such as multiagent systems, with approaches of statistical many-particle physics. It also shows that Brownian agent models can be successfully applied in many different contexts. more...

  • Brownian Motionby Robert M. Mazo

    Oxford University Press 2008; US$ 74.99

    Brownian motion- the incessant motion of small particles suspended in a fluid- is an important topic in statistical physics and physical chemistry. This book studies its origin in molecular scale fluctuations, its description in terms of random process theory and also in terms of statistical mechanics. - ;Brownian motion - the incessant motion of small... more...

  • Stopped Random Walksby Allan Gut

    Springer 2009; US$ 49.95

    Classical probability theory provides information about random walks after a fixed number of steps. This title shows how this theory can be used to prove limit theorems for renewal counting processes, first passage time processes, and certain two-dimensional random walks, as well as how these results may be used in a variety of applications. more...

  • Brownian Motionby René L. Schilling; Lothar Partzsch; Björn Böttcher

    De Gruyter 2012; US$ 734.00

    Stochastic processes occur in a large number of fields in sciences and engineering, so they need to be understood by applied mathematicians, engineers and scientists alike. This work is ideal for a first course introducing the reader gently to the subject matter of stochastic processes. It uses Brownian motion since this is a stochastic... more...