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Stochastic Differential Equations and Diffusion Processes

Stochastic Differential Equations and Diffusion Processes;

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Theory and Statistical Applications of Stochastic Processes

Gaussian processes, Ito integration, stochastic analysis, stochastic differential equations, fractional Brownian motion and parameter estimation;

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Stability of Infinite Dimensional Stochastic Differential Equations with Applications

Stochastic differential equations in infinite dimensional spaces are motivated by the theory and analysis of stochastic processes and by;

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Stability of Infinite Dimensional Stochastic Differential Equations with Applications

Stochastic differential equations in infinite dimensional spaces are motivated by the theory and analysis of stochastic processes and by;

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Stochastic Processes in Cell Biology

equations and jump Markov processes, diffusion approximations and the system size expansion, first passage time problems, stochastic hybrid systems;

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Almost Periodic Stochastic Processes

This book lays the foundations for a theory on almost periodic stochastic processes and their applications to various stochastic;

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Introduction to Stochastic Analysis

and Stratonovich stochastic integrals, Ito s formula; stochastic differential equations (SDEs); solutions of SDEs as Markov processes;

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Stochastic Differential Equations And Applications

This text develops the theory of systems of stochastic differential equations, and it presents applications in probability, partial;

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Distribution of Statistical Observables for Anomalous and Nonergodic Diffusions

modelled by non-Brownian stochastic processes in the complex real-world environment. Statistical observables are widely used for anomalous and;

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Convolution-like Structures, Differential Operators and Diffusion Processes

known that convolutions, differential operators and diffusion processes are interconnected: the ordinary convolution commutes with the Laplacian;

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Stochastic Processes

important book is a selection of his brilliant works on stochastic processes and related topics. It contains Tanaka's papers on (i) Brownian motion;

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Applied Stochastic Differential Equations

Stochastic differential equations are differential equations whose solutions are stochastic processes. They exhibit appealing mathematical;

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Stochastic Partial Differential Equations

sections on the Levy type of stochastic integrals and the related stochastic differential equations in finite dimensions Discussions of Poisson;

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Probability and Stochastic Processes for Physicists

between the Schroedinger equation and diffusion processes along the lines of Nelson's stochastic mechanics. A series of appendices cover;

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Probability and Stochastic Processes for Physicists

between the Schroedinger equation and diffusion processes along the lines of Nelson's stochastic mechanics. A series of appendices cover;

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Statistical Methods for Stochastic Differential Equations

. The book covers Wiener-driven equations as well as stochastic differential equations with jumps, including continuous-time ARMA processes and;

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Stochastic Differential Equations

Stochastic calculus and stochastic differential equations play an assertive role in many applications including physics, biology, financial;

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Simple Brownian Diffusion

advantages, and clarify their conditions of applicability. Special attention is given to the stochastic simulation of diffusion, and to showing how;

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Numerical Approximations of Stochastic Differential Equations with Non-Globally Lipschitz Continuous Coefficients

Many stochastic differential equations (SDEs) in the literature have a superlinearly growing nonlinearity in their drift or diffusion;

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Asymptotic Analysis of Unstable Solutions of Stochastic Differential Equations

transition densities, processes that are not solutions of any Ito's SDEs, and the Bessel diffusion process. The book is self-contained, with;

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Asymptotic Analysis of Unstable Solutions of Stochastic Differential Equations

transition densities, processes that are not solutions of any Ito's SDEs, and the Bessel diffusion process. The book is self-contained, with;

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Qualitative And Asymptotic Analysis Of Differential Equations With Random Perturbations

the theory of random processes and from the classic theory of differential equations.This work focuses on the approach to stochastic equations;

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Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology

of Markov jump processes and stochastic differential equations. Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational;

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Beyond The Triangle

developments in the field, including the role of driving processes and their scaling limits, the forms of corresponding stochastic differential;

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Stochastic Differential Equations and Processes

. The papers cover theoretical, numerical and applied aspects of stochastic processes and stochastic differential equations. The study of such;

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Stochastic Differential Equations and Processes

. The papers cover theoretical, numerical and applied aspects of stochastic processes and stochastic differential equations. The study of such;

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Stochastic Stability of Differential Equations in Abstract Spaces

-linear systems, and time-delay systems. The focus is on stability of stochastic dynamical processes affected by white noise, which are described;

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