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Stochastic processes

Most popular at the top

  • 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...

  • 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...

  • 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...

  • 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...

  • 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...

  • Probability, Statistics, and Stochastic Processesby Peter Olofsson

    Wiley 2011; US$ 146.00

    A mathematical and intuitive approach to probability, statistics, and stochastic processes This textbook provides a unique, balanced approach to probability, statistics, and stochastic processes. Readers gain a solid foundation in all three fields that serves as a stepping stone to more advanced investigations into each area. This text combines a... more...

  • Recent Development in Stochastic Dynamics and Stochastic Analysisby Jinqiao Duan; Shunlong Luo; Caishi Wang

    World Scientific Publishing Company 2010; US$ 154.00

    Stochastic dynamical systems and stochastic analysis are of great interests not only to mathematicians but also scientists in other areas. Stochastic dynamical systems tools for modeling and simulation are highly demanded in investigating complex phenomena in, for example, environmental and geophysical sciences, materials science, life sciences, physical... more...

  • Markov Processes, Feller Semigroups and Evolution Equationsby Jan A. van Casteren

    World Scientific Publishing Company 2010; US$ 204.00

    This book provides a systemic treatment of time-dependent strong Markov processes with values in a Polish space. It describes its generators and the link with stochastic differential equations in infinite dimensions. In a unifying way, where the square gradient operator is employed, new results for backward stochastic differential equations and long-time... more...

  • NEW TRENDS IN STOCHASTIC ANALYSIS AND RELATED TOPICSby Huaizhong Zhao; Aubrey Truman

    World Scientific Publishing Company 2011; US$ 192.00

    The volume is dedicated to Professor David Elworthy to celebrate his fundamental contribution and exceptional influence on stochastic analysis and related fields. Stochastic analysis has been profoundly developed as a vital fundamental research area in mathematics in recent decades. It has been discovered to have intrinsic connections with many other... more...

  • Markov Decision Processes and the Belief-Desire-Intention Modelby Gerardo I. Simari; Simon D. Parsons

    Springer 2011; US$ 39.95

    In this work, we provide a treatment of the relationship between two models that have been widely used in the implementation of autonomous agents: the Belief DesireIntention (BDI) model and Markov Decision Processes (MDPs). We start with an informal description of the relationship, identifying the common features of the two approaches and the differences... more...