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Stochastic processes

Most popular at the top

  • Stochastic Convergenceby Eugene Lukacs; Z. W. Birnbaum; E. Lukacs

    Elsevier Science 2014; US$ 72.95

    Stochastic Convergence, Second Edition covers the theoretical aspects of random power series dealing with convergence problems. This edition contains eight chapters and starts with an introduction to the basic concepts of stochastic convergence. The succeeding chapters deal with infinite sequences of random variables and their convergences, as well... more...

  • An Introduction to Stochastic Modelingby Howard M. Taylor; Samuel Karlin

    Elsevier Science 2014; US$ 93.95

    An Introduction to Stochastic Modeling, Revised Edition provides information pertinent to the standard concepts and methods of stochastic modeling. This book presents the rich diversity of applications of stochastic processes in the sciences. Organized into nine chapters, this book begins with an overview of diverse types of stochastic models, which... more...

  • Applied Stochastic Processesby G. Adomian

    Elsevier Science 2014; US$ 72.95

    Applied Stochastic Processes is a collection of papers dealing with stochastic processes, stochastic equations, and their applications in many fields of science. One paper discusses stochastic systems involving randomness in the system itself that can be a large dynamical multi-input, multi-output system. Examples of a large system are the national... more...

  • A First Course in Stochastic Processesby Samuel Karlin

    Elsevier Science 2014; US$ 93.95

    A First Course in Stochastic Processes focuses on several principal areas of stochastic processes and the diversity of applications of stochastic processes, including Markov chains, Brownian motion, and Poisson processes. The publication first takes a look at the elements of stochastic processes, Markov chains, and the basic limit theorem of Markov... more...

  • Gaussian Markov Random Fieldsby Havard Rue; Leonhard Held

    CRC Press 2005; US$ 125.95

    Gaussian Markov Random Field (GMRF) models are most widely used in spatial statistics, a very active area of research in which few up-to-date reference works are available. Gaussian Markov Random Field: Theory and Applications is the first book on the subject that provides a unified framework of GMRFs with particular emphasis on the computational aspects.... more...

  • Modeling Uncertaintyby Moshe Dror; Pierre L'Ecuyer; Ferenc Szidarovszky

    Springer 2002; US$ 409.00

    Writing in honour of Sid Yakowitz, 50 internationally known scholars have collectively contributed 30 papers on modelling uncertainty to this volume. These include papers with a theoretical emphasis and others that focus on applications. more...

  • Pseudo-Differential Equations And Stochastics Over Non-Archimedean Fieldsby Anatoly Kochubei

    CRC Press 2001; US$ 275.00

    Provides comprehensive coverage of the most recent developments in the theory of non-Archimedean pseudo-differential equations and its application to stochastics and mathematical physics--offering current methods of construction for stochastic processes in the field of p-adic numbers and related structures. Develops a new theory for parabolic equations... more...

  • Stochastic Partial Differential Equations and Applicationsby Giuseppe Da Prato; Luciano Tubaro

    CRC Press 2002; US$ 297.00

    The Semi-Martingale Property of the Square of White Noise Integrators Luigi Accardi and Andreas Boukas SPDEs Leading to Local, Relativistic Quantum Vector Fields with Indefinite Metric and Nontrivial S-Matrix Sergio Albeverio, Hanno Gottschalk, and Jiang-Lun Wu Considerations on the Controllability of Stochastic Linear Heat Equations Viorel Barbu... more...

  • Graph Directed Markov Systemsby R. Daniel Mauldin; Mariusz Urbanski

    Cambridge University Press 2003; US$ 108.00

    Monograph on Graph Directed Markov Systems with backgound and research level material. more...

  • Stochastic Processes and Functional Analysisby Alan C. Krinik; Randall J. Swift

    CRC Press 2004; US$ 297.00

    This extraordinary compilation is an expansion of the recent American Mathematical Society Special Session celebrating M. M. Rao's distinguished career and includes most of the presented papers as well as ancillary contributions from session invitees. This book shows the effectiveness of abstract analysis for solving fundamental problems of stochastic... more...