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Stochastic processes

Most popular at the top

  • Introduction to Empirical Processes and Semiparametric Inferenceby Michael R. Kosorok

    Springer 2007; US$ 169.00

    This book provides a self-contained, linear, and unified introduction to empirical processes and semiparametric inference. These powerful research techniques are surprisingly useful for developing methods of statistical inference for complex models and in understanding the properties of such methods. The targeted audience includes statisticians, biostatisticians,... more...

  • Quasi-Stationary Phenomena in Nonlinearly Perturbed Stochastic Systemsby Mats Gyllenberg; Dmitrii S. Silvestrov

    De Gruyter 2008; US$ 238.00

    This book is devoted to the mathematical studies of stochastic systems with quasi-stationary phenomena which have applications to population dynamics or epidemic models. In addition to its use for the research and reference purposes, the book can also be used in special courses on the subject and as a complementary reading in general courses on stochastic... more...

  • Markov Processes and Applicationsby Etienne Pardoux

    Wiley 2008; US$ 93.00

    "This well-written book provides a clear and accessible treatment of the theory of discrete and continuous-time Markov chains, with an emphasis towards applications. The mathematical treatment is precise and rigorous without superfluous details, and the results are immediately illustrated in illuminating examples. This book will be extremely useful... more...

  • An Introduction to Stochastic Filtering Theoryby Jie Xiong

    Oxford University Press, UK 2008; US$ 98.99

    Stochastic filtering theory is a field that has seen a rapid development in recent years and this book, aimed at graduates and researchers in applied mathematics, provides an accessible introduction covering recent developments. - ;Stochastic Filtering Theory uses probability tools to estimate unobservable stochastic processes that arise in many applied... more...

  • Basics of Applied Stochastic Processesby Richard Serfozo

    Springer 2009; US$ 89.99

    Stochastic processes are mathematical models of random phenomena that evolve according to prescribed dynamics. Processes commonly used in applications are Markov chains in discrete and continuous time, Poisson processes, and Brownian motion. This book presents structure and basic properties of these stochastic processes. more...

  • Fundamentals of Stochastic Filteringby Dan Crisan; G. Grimmett

    Springer 2008; US$ 59.95

    The objective of stochastic filtering is to determine the best estimate for the state of a stochastic dynamical system from partial observations. The solution of this problem in the linear case is the well known Kalman-Bucy filter which has found widespread practical application. The purpose of this book is to provide a rigorous mathematical treatment... more...

  • Stochastic Volatilityby Neil Shephard

    Oxford University Press, UK 2005; US$ 64.99

    Neil Shephard has brought together a set of classic and central papers that have contributed to our understanding of financial volatility. They cover stocks, bonds and currencies and range from 1973 up to 2001. Shephard, a leading researcher in the field, provides a substantial introduction in which he discusses all major issues involved. General Introduction... more...

  • Level Sets and Extrema of Random Processes and Fieldsby Jean-Marc Azais; Mario Wschebor

    Wiley 2009; US$ 139.00

    A timely and comprehensive treatment of random field theory with applications across diverse areas of study Level Sets and Extrema of Random Processes and Fields discusses how to understand the properties of the level sets of paths as well as how to compute the probability distribution of its extremal values, which are two general classes of problems... more...

  • Hasard, nombres aléatoires et méthode Monte Carloby Louis Laurencelle

    Presses de l''niversite du Quebec 2001; US$ 24.00

    L'univers de l'homme moderne, si pétri de rationalisme, si environné de technologies et d'artéfacts rassurants, est néanmoins imprégné de hasard, davantage que ne l'était celui de ses ancêtres. L'auteur traite des séries de nombres aléatoires, de leurs propriétés, leur... more...

  • Lectures on Dynamics of Stochastic Systemsby Valery I. Klyatskin

    Elsevier Science 2010; US$ 77.95

    Fluctuating parameters appear in a variety of physical systems and phenomena. They typically come either as random forces/sources, or advecting velocities, or media (material) parameters, like refraction index, conductivity, diffusivity, etc. Models naturally render to statistical description, where random processes and fields express the input parameters... more...