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Stochastic processes

Most popular at the top

  • Markov Chainsby Carl Graham

    Wiley 2014; US$ 115.50

    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 the reader to master the main aspects of the classical... more...

  • Probabilistic Inequalitiesby George A. Anastassiou

    World Scientific Publishing Company 2009; US$ 172.00

    In this monograph, the author presents univariate and multivariate probabilistic inequalities with coverage on basic probabilistic entities like expectation, variance, moment generating function and covariance. These are built on the recent classical form of real analysis inequalities which are also discussed in full details. This treatise is the culmination... more...

  • Upper and Lower Bounds for Stochastic Processesby Michel Talagrand

    Springer Berlin Heidelberg 2014; US$ 149.00

    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...

  • 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...

  • 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...

  • 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...

  • 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...

  • 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...