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Vector Integration and Stochastic Integration in Banach Spaces

A breakthrough approach to the theory and applications of stochastic integration The theory of stochastic integration has become an;

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Stochastic Analysis and Applications

stochastic problems in physics and biology. It includes information on the theory of Dirichlet forms, Feynman integration and the Schrodinger's;

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Stochastic Analysis and Applications

stochastic problems in physics and biology. It includes information on the theory of Dirichlet forms, Feynman integration and the Schrodinger's;

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Theory and Statistical Applications of Stochastic Processes

This book is concerned with the theory of stochastic processes and the theoretical aspects of statistics for stochastic processes. It;

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Stochastic Integration Theory

This graduate level text covers the theory of stochastic integration, an important area of Mathematics that has a wide range;

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Stochastic Calculus for Quantitative Finance

of the theory of stochastic integration in Mathematical Finance, in particular, the arbitrage theory. The exposition follows the traditions;

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Stochastic Integration with Jumps

processing. This 2002 text develops stochastic integration theory for both integrators (semimartingales) and random measures from a common point;

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Stochastic Integration with Jumps

processing. This 2002 text develops stochastic integration theory for both integrators (semimartingales) and random measures from a common point;

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Introduction to Stochastic Integration

Also called Ito calculus, the theory of stochastic integration has applications in virtually every scientific area involving random;

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Continuous Stochastic Calculus with Applications to Finance

in the theory of stochastic integration. This text gives a rigorous development of the theory of stochastic integration as it applies to the;

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Stochastic World

distribution functions, stochastic integration and numerical modeling. Numerous examples of practical applications of the stochastic mathematics are;

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Semimartingale Theory and Stochastic Calculus

semimartingale theory, and related stochastic calculus. The book emphasizes stochastic integration for semimartingales, characteristics;

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Introduction to Option Pricing Theory

essentials of Ito's theory of stochastic integration, integration with respect to semimartingales, Girsanov's Theorem, and a brief introduction;

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Gauge Integral Structures for Stochastic Calculus and Quantum Electrodynamics

GAUGE INTEGRAL STRUCTURES FOR STOCHASTIC CALCULUS AND QUANTUM ELECTRODYNAMICS A stand-alone introduction to specific integration problems;

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Set-Valued Stochastic Integrals and Applications

This book is among the first concise presentations of the set-valued stochastic integration theory as well as its natural applications, as;

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Set-Valued Stochastic Integrals and Applications

This book is among the first concise presentations of the set-valued stochastic integration theory as well as its natural applications, as;

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Martingales and Stochastic Integrals

This book provides an introduction to the rapidly expanding theory of stochastic integration and martingales. The treatment is close to;

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An Introduction to Stochastic Integration

A highly readable introduction to stochastic integration and stochastic differential equations, this book combines developments of the;

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Mathematical Feynman Path Integrals And Their Applications

several dynamical systems have been added.This book bridges between the realms of stochastic analysis and the theory of Feynman path integration;

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Stochastic Calculus for Fractional Brownian Motion and Applications

The purpose of this book is to present a comprehensive account of the different definitions of stochastic integration for fBm, and to give;

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Stochastic Calculus for Fractional Brownian Motion and Applications

The purpose of this book is to present a comprehensive account of the different definitions of stochastic integration for fBm, and to give;

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Introduction to the Theory of Random Processes

This book concentrates on some general facts and ideas of the theory of stochastic processes. The topics include the Wiener process;

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Ambit Stochastics

new theory on the simulation of ambit fields and a comprehensive stochastic integration theory for Volterra processes in a non-semimartingale;

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Brownian Motion and Stochastic Calculus

of both a martingale and a Markov process with continuous paths. In this context, the theory of stochastic integration and stochastic calculus;

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Adaptive Stochastic Methods

This monograph develops adaptive stochastic methods in computational mathematics. The authors discuss the basic ideas of the algorithms and;

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Risk-Neutral Valuation

side, both discrete- and continuous-time stochastic processes are treated, with special emphasis on martingale theory, stochastic integration;

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Hilbert Space Methods In Probability And Statistical Inference

of martingales stochastic integration, interpolation and density estimation. Includes a copious amount of problems and examples.;

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