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Stochastic processes

Most popular at the top

  • Hidden Markov Processesby M. Vidyasagar

    Princeton University Press 2014; US$ 59.50

    This book explores important aspects of Markov and hidden Markov processes and the applications of these ideas to various problems in computational biology. The book starts from first principles, so that no previous knowledge of probability is necessary. However, the work is rigorous and mathematical, making it useful to engineers and mathematicians,... more...

  • Introduction to Stochastic Search and Optimizationby James C. Spall

    Wiley 2005; US$ 180.00

    A unique interdisciplinary foundation for real-world problem solving Stochastic search and optimization techniques are used in a vast number of areas, including aerospace, medicine, transportation, and finance, to name but a few. Whether the goal is refining the design of a missile or aircraft, determining the effectiveness of a new drug, developing... more...

  • Introduction To Stochastic Calculus With Applicationsby Fima C Klebaner

    World Scientific Publishing Company 2005; US$ 38.00

    This book presents a concise treatment of stochastic calculus and its applications. It gives a simple but rigorous treatment of the subject including a range of advanced topics, it is useful for practitioners who use advanced theoretical results. It covers advanced applications, such as models in mathematical finance, biology and engineering. more...

  • The Generic Chainingby Michel Talagrand

    Springer-Verlag Berlin and Heidelberg GmbH & Co. KG 2006; US$ 169.00

    The fundamental question of characterizing continuity and boundedness of Gaussian processes goes back to Kolmogorov. After essential contributions by R. Dudley and X. Fernique, it was solved by the author in 1985. This advance was followed by a great improvement of our understanding of the boundedness of other fundamental classes of processes (empirical... more...

  • Inference in Hidden Markov Modelsby Olivier Cappe

    Springer-Verlag New York Inc 2006; US$ 199.00

    Gives a comprehensive treatment of inference for hidden Markov models, including both algorithms and statistical theory. This book is aimed at anybody with an interest in inference for stochastic processes, researchers, and practitioners in areas such as statistics, signal processing, communications engineering, finance, and more. more...

  • Statistical Analysis of Stochastic Processes in Timeby J. K. Lindsey

    Cambridge University Press 2004; US$ 44.00

    This 2004 book introduces ways of modelling phenomena that occur over time. Covers stochastic processes, survival analysis, time series and more. more...

  • Stochastic Numerics for the Boltzmann Equationby Sergej Rjasanow; Wolfgang Wagner

    Springer-Verlag Berlin and Heidelberg GmbH & Co. KG 2006; US$ 139.00

    Stochastic numerical methods play an important role in large scale computations in the applied sciences. The first goal of this book is to give a mathematical description of classical direct simulation Monte Carlo (DSMC) procedures for rarefied gases, using the theory of Markov processes as a unifying framework. The second goal is a systematic treatment... more...

  • The Malliavin Calculus and Related Topicsby D. Nualart

    Springer-Verlag Berlin and Heidelberg GmbH & Co. KG 2006; US$ 109.00

    The Malliavin calculus is an infinite-dimensional differential calculus on a Gaussian space. This monograph presents the main features of the Malliavin calculus and discusses its main applications. It includes applications of the Malliavin calculus in finance and a chapter on stochastic calculus with respect to the fractional Brownian motion. more...

  • Cycle Representations of Markov Processesby Sophia L. Kalpazidou

    Springer 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...