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Stochastic processes

Most popular at the top

  • Upper and Lower Bounds for Stochastic Processesby Michel Talagrand

    Springer Berlin Heidelberg 2014; US$ 110.07

    In addition to its central focus on generic chaining, which allows for optimal bounds in Gaussian and Bernoulli processes, this volume on modern stochastic methods includes key applications and a variety of complete solutions to a number of classical problems. more...

  • Topics in Stochastic Processesby Robert B. Ash; Melvin F. Gardner; Z. W. Birnbaum; E. Lukacs

    Elsevier Science 2014; US$ 72.95

    Topics in Stochastic Processes covers specific processes that have a definite physical interpretation and that explicit numerical results can be obtained. This book contains five chapters and begins with the L2 stochastic processes and the concept of prediction theory. The next chapter discusses the principles of ergodic theorem to real analysis,... more...

  • 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...

  • Statistical Inference and Related Topicsby Madan Lal Puri

    Elsevier Science 2014; US$ 72.95

    Statistical Inference and Related Topics, Volume 2 presents the proceedings of the Summer Research Institute on Statistical Inference for Stochastic Processes, held in Bloomingdale, Indiana on July 31 to August 9, 1975. This book focuses on the theory of statistical inference for stochastic processes. Organized into 15 chapters, this volume begins... 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...

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

    Elsevier Science 2014; US$ 72.95

    An Introduction to Stochastic Modeling 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 predicts a set... more...

  • Basic Stochastic Processesby Pierre Devolder; Jacques Janssen; Raimondo Manca

    Wiley 2015; US$ 130.00 US$ 117.00

    This book presents basic stochastic processes, stochastic calculus including Lévy processes on one hand, and Markov and Semi Markov models on the other. From the financial point of view, essential concepts such as the Black and Scholes model, VaR indicators, actuarial evaluation, market values, fair pricing play a central role and will be presented.... more...

  • A First Course in Stochastic Modelsby Henk C. Tijms

    Wiley 2003; US$ 89.00 US$ 80.10

    The field of applied probability has changed profoundly in the past twenty years. The development of computational methods has greatly contributed to a better understanding of the theory. A First Course in Stochastic Models provides a self-contained introduction to the theory and applications of stochastic models. Emphasis is placed on establishing... 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. This is the first book on the subject that provides a unified framework of GMRFs with particular emphasis on the computational aspects. This book includes extensive case-studies... more...