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Simulation and Inference for Stochastic Differential Equations

. The introductory material on simulation and stochastic differential equation is very accessible and will prove popular with many readers;

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Monte-carlo Methods and Stochastic Processes

focuses on the simulation of stochastic processes in continuous time and their link with partial differential equations (PDEs). It covers linear;

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Monte-Carlo Methods and Stochastic Processes

focuses on the simulation of stochastic processes in continuous time and their link with partial differential equations (PDEs). It covers linear;

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Simulation and Inference for Stochastic Processes with Yuima: A Comprehensive R Framework for Sdes and Other Stochastic Processes

The YUIMA package is the first comprehensive R framework based on S4 classes and methods which allows for the simulation of stochastic;

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Statistical Methods for Stochastic Differential Equations

The seventh volume in the SemStat series, Statistical Methods for Stochastic Differential Equations presents current research trends and;

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Introduction to Stochastic Analysis

This is an introduction to stochastic integration and stochastic differential equations written in an understandable way for a wide;

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Almost Periodic Stochastic Processes

stability of solutions for abstract stochastic difference and differential equations.;

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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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Backward Stochastic Differential Equations

This book provides a systematic and accessible approach to stochastic differential equations, backward stochastic differential equations;

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Stochastic Partial Differential Equations and Applications - VII

Stochastic Partial Differential Equations and Applications gives an overview of current state-of-the-art stochastic PDEs in several fields;

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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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Effective Dynamics of Stochastic Partial Differential Equations

Effective Dynamics of Stochastic Partial Differential Equations focuses on stochastic partial differential equations with slow and fast;

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Introduction to Stochastic Differential Equations with Applications to Modelling in Biology and Finance

A comprehensive introduction to the core issues of stochastic differential equations and their effective application Introduction to;

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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 Differential Equations and Diffusion Processes

Stochastic Differential Equations and Diffusion Processes;

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Applied Stochastic Differential Equations

estimation, and machine learning. It builds an intuitive hands-on understanding of what stochastic differential equations are all about, but also;

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Numerical Solution of Stochastic Differential Equations with Jumps in Finance

In financial and actuarial modeling and other areas of application, stochastic differential equations with jumps have been employed to;

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An Introduction to Differential Equations

For more than half a century, stochastic calculus and stochastic differential equations have played a major role in analyzing the dynamic;

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Introduction To Differential Equations

For more than half a century, stochastic calculus and stochastic differential equations have played a major role in analyzing the dynamic;

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Invariant Measures for Stochastic Nonlinear Schroedinger Equations

of invariant measures for stochastic differential equations, introduces geometric structures including symplecticity and (conformal) multi;

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Numerical Methods For Stochastic Processes

new methods. Topics presented include Monte Carlo and quasi-Monte Carlo methods, the simulation of major stochastic processes and;

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Stochastic Partial Differential Equations and Applications

finance and identifies paths for future research in the field. Stochastic Partial Differential Equations and Applications analyzes recent;

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Stochastic Partial Differential Equations and Applications

finance and identifies paths for future research in the field. Stochastic Partial Differential Equations and Applications analyzes recent;

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Exact Finite-Difference Schemes

. Construction of exact difference schemes for various parabolic and elliptic partial differential equations are discussed, including vibrations and;

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Continuous-Time Random Walks for the Numerical Solution of Stochastic Differential Equations

in space, which often guarantees that the schemes are numerically stable for both finite and long time simulation of SDEs.;

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Stochastic Partial Differential Equations

As a relatively new area in mathematics, stochastic partial differential equations (PDEs) are still at a tender age and have not yet;

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