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Markov processes

Most popular at the top

  • MAM 2006by Amy N. Langville; William J. Stewart

    Bitingduck Press 2006; US$ 29.95

    The Markov Anniversary Meeting, June 12-14, 2006 was the fifth in a series of conferences devoted to the Numerical Solution of Markov Chains (NSMC). The prior four NSMC conferences were held in 1990, 1995, 1999, and 2003. The first two conferences were held in Raleigh, North Carolina, the third moved overseas to Zarazoga, Spain, and the fourth was... more...

  • Lévy Processes and Stochastic Calculusby David Applebaum

    Cambridge University Press 2004; US$ 80.00

    Graduate text decsribing two of the main tools for modern mathematical finance. more...

  • Dynamic Random Walksby Nadine Guillotin-Plantard; Rene Schott

    Elsevier Science 2006; US$ 117.00

    The aim of this book is to report on the progress realized in probability theory in the field of dynamic random walks and to present applications in computer science, mathematical physics and finance. Each chapter contains didactical material as well as more advanced technical sections. Few appendices will help refreshing memories (if necessary!).... more...

  • Fluctuation Theory for Levy Processesby Ronald A. Doney; Jean Picard

    Springer-Verlag Berlin and Heidelberg GmbH & Co. KG 2007; US$ 44.95

    L??vy processes, i.e. processes in continuous time with stationary and independent increments, are named after Paul L??vy, who made the connection with infinitely divisible distributions and described their structure.  They form a flexible class of models, which have been applied to the study of storage processes, insurance risk, queues, turbulence,... more...

  • Random Walk In Random And Non-random Environments (second Edition)by Pál Révész

    World Scientific Publishing Company 2005; US$ 248.00

    The simplest mathematical model of the Brownian motion of physics is the simple, symmetric random walk. This book collects and compares current results ? mostly strong theorems which describe the properties of a random walk. The modern problems of the limit theorems of probability theory are treated in the simple case of coin tossing. Taking advantage... more...

  • Random Walks and Geometryby Vadim Kaimanovich; Klaus Schmidt; Wolfgang Woess

    De Gruyter 2004; US$ 321.00

    Recent developments show that probability methods have become a very powerful tool in such different areas as statistical physics, dynamical systems, Riemannian geometry, group theory, harmonic analysis, graph theory and computer science. This volume is an outcome of the special semester 2001 - Random Walks held at the Schrödinger... more...

  • Cycle Representations of Markov Processesby Sophia L. Kalpazidou

    Springer New York 2007; US$ 169.00

    Provides fresh insight into Markovian dependence via the cycle decompositions. This book presents an account of a class of stochastic processes known as cycle processes. It reveals interpretations of cycle representations such as homologic decompositions, orthogonality equations, Fourier series, semigroup equations, and disintegration of measures. more...

  • Analytical Methods for Markov Semigroupsby Luca Lorenzi; Marcello Bertoldi

    CRC Press 2006; US$ 154.95

    Introduction MARKOV SEMIGROUPS IN RN The Elliptic Equation and the Cauchy Problem in Cb(RN): The Uniformly Elliptic Case One Dimensional Theory Uniqueness Results, Conservation of Probability and Maximum Principles Properties of T(t) in Spaces of Continuous Functions Uniform Estimates for the Derivatives of T(t)f Pointwise Estimates for the Derivatives... more...

  • Invariant Probabilities of Markov-Feller Operators and Their Supportsby Radu Zaharopol

    Springer 2005; US$ 69.99

    This book covers invariant probabilities for a large class of discrete-time homogeneous Markov processes known as Feller processes. These Feller processes appear in the study of iterated function systems with probabilities, convolution operators, and certain time series. more...

  • Markov Chainsby D. Revuz

    Elsevier Science 2008; US$ 195.00

    This is the revised and augmented edition of a now classic book which is an introduction to sub-Markovian kernels on general measurable spaces and their associated homogeneous Markov chains. The first part, an expository text on the foundations of the subject, is intended for post-graduate students. A study of potential theory, the basic classification... more...