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Stochastic processes

Most popular at the top

  • 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...

  • Random Walks and Geometryby Vadim Kaimanovich; Klaus Schmidt; Wolfgang Woess

    De Gruyter 2004; US$ 293.00

    Recent developments show that probability methods have become a very powerful tool in such different areas as statistical physics, dynamical systems, Riemannian geometry, group theory, harmonic analysis, graph theory and computer science. This volume is an outcome of the special semester 2001 - Random Walks held at the Schrödinger Institute in Vienna,... 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$ 149.00

    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...

  • Modeling with Itô Stochastic Differential Equationsby Edward Allen

    Springer 2007; US$ 129.00

    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...

  • Analytical Methods for Markov Semigroupsby Luca Lorenzi; Marcello Bertoldi

    Taylor and Francis 2010; US$ 146.95

    For the first time in book form, Analytical Methods for Markov Semigroups provides a comprehensive analysis on Markov semigroups both in spaces of bounded and continuous functions as well as in Lp spaces relevant to the invariant measure of the semigroup. Exploring specific techniques and results, the book collects and updates the literature associated... more...

  • Stochastic Learning and Optimizationby Xiren Cao

    Springer 2007; US$ 179.00

    Performance optimization is important in designing and operating modern engineering systems in many areas, including communications (Internet and wireless), manufacturing, robotics, and logistics. This book proposes research in performance optimization and looks at areas that seek to make the "best decision" to optimize system performance. more...

  • Stochastic Ordinary and Stochastic Partial Differential Equationsby Peter Kotelenez

    Springer 2008; US$ 109.00

    This book provides the first rigorous derivation of mesoscopic and macroscopic equations from a deterministic system of microscopic equations. The microscopic equations are cast in the form of a deterministic (Newtonian) system of coupled nonlinear oscillators for N large particles and infinitely many small particles. The mesoscopic equations are stochastic... more...