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Stochastic processes

Most popular at the top

  • Discrete-Time Markov Chainsby G.George Yin; Qing Zhang

    Springer-Verlag New York Inc 2006; US$ 109.00

    This book focuses on the theory and applications of discrete-time two-time-scale Markov chains. Much effort in this book is devoted to designing system models arising from these applications, analyzing them via analytic and probabilistic techniques, and developing feasible computational algorithms so as to reduce the inherent complexity. This book... more...

  • Physical Approach to Short-Term Wind Power Predictionby Matthias Lange; Ulrich Focken

    Springer-Verlag Berlin and Heidelberg GmbH & Co. KG 2006; US$ 189.00

    Offers an approach to the ultimate goal of the short-term prediction of the power output of winds farms. This book addresses scientists and engineers working in wind energy related R and D and industry, as well as graduate students and nonspecialists researchers in the fields of atmospheric physics and meteorology. more...

  • Controlled Markov Processes and Viscosity Solutionsby Wendell H. Fleming; H.M. Soner

    Springer-Verlag New York Inc 2006; US$ 139.00

    Presents an introduction to optimal stochastic control for continuous time Markov processes and the theory of viscosity solutions. This book covers dynamic programming for deterministic optimal control problems, as well as to the corresponding theory of viscosity solutions. more...

  • Advances In Deterministic And Stochastic Analysisby by N M Chuong; P G Ciarlet; P Lax

    World Scientific Publishing Company 2007; US$ 251.00

    This volume collects articles in pure and applied analysis, partial differential equations, geometric analysis and stochastic and infinite-dimensional analysis. In particular, the contributors discuss integral and pseudo-differential operators, which play an important role in partial differential equations. Other methods of solving the partial differential... more...

  • Stochastic Differential Equationsby Peter H Baxendale; Sergey V Lototsky

    World Scientific Publishing Company 2007; US$ 236.00

    This volume consists of 15 articles written by experts in stochastic analysis. The first paper in the volume, Stochastic Evolution Equations by N V Krylov and B L Rozovskii, was originally published in Russian in 1979. After more than a quarter-century, this paper remains a standard reference in the field of stochastic partial differential equations... more...

  • Amplitude Equations For Stochastic Partial Differential Equationsby Dirk Blömker

    World Scientific Publishing Company 2007; US$ 113.00

    Rigorous error estimates for amplitude equations are well known for deterministic PDEs, and there is a large body of literature over the past two decades. However, there seems to be a lack of literature for stochastic equations, although the theory is being successfully used in the applied community, such as for convective instabilities, without reliable... more...

  • Modeling with Itô Stochastic Differential Equationsby Edward Allen

    Springer 2007; US$ 139.00

    Dynamical systems with random influences occur throughout the physical, biological, and social sciences. By carefully studying a randomly varying system over a small time interval, a discrete stochastic process model can be constructed. Next, letting the time interval shrink to zero, an Ito stochastic differential equation model for the dynamical system... more...

  • Data Assimilationby Geir Evensen

    Springer 2006; US$ 135.00

    Covers data assimilation and inverse methods, including both traditional state estimation and parameter estimation. This text and reference focuses on various popular data assimilation methods, such as weak and strong constraint variational methods and ensemble filters and smoothers. more...

  • Finite Mixture and Markov Switching Modelsby Sylvia Frühwirth-Schnatter

    Springer 2006; US$ 179.00

    The past years have seen powerful computational tools for modeling which combine a Bayesian approach with Monte simulation techniques based on Markov chains. This book reviews these techniques and covers advances in the field. It also offers a presentation of the Bayesian perspective of finite mixture modelling. more...

  • Information Criteria and Statistical Modelingby Sadanori Konishi; Genshiro Kitagawa

    Springer 2007; US$ 149.00

    The Akaike information criterion (AIC) derived as an estimator of the Kullback-Leibler information discrepancy provides a useful tool for evaluating statistical models, and numerous successful applications of the AIC have been reported in various fields of natural sciences, social sciences and engineering. One of the main objectives of this book is... more...