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Stochastic Integration with Jumps

Stochastic processes with jumps and random measures are importance as drivers in applications like financial mathematics and signal;

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Stochastic Integration with Jumps

Stochastic processes with jumps and random measures are importance as drivers in applications like financial mathematics and signal;

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On Backward Stochastic Differential Equations (BSDEs) with jumps of infinite activity

), language: English, abstract: This diploma thesis is concerned with backward stochastic differential equations (BSDEs) with jumps which are driven;

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Stochastic Methods in Asset Pricing

book begins with measure-theoretic probability and integration, and then develops the classical tools of stochastic calculus, including;

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Vector Integration and Stochastic Integration in Banach Spaces

integration with respect to measures with finite semivariation, then applies the theory to stochastic integration in Banach spaces. Vector Integration;

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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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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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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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Stochastic Analysis and Applications

This volume attempts to exhibit current research in stochastic integration, stochastic differential equations, stochastic optimization and;

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Stochastic Analysis and Applications

This volume attempts to exhibit current research in stochastic integration, stochastic differential equations, stochastic optimization and;

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Mathematical Finance

Taking continuous-time stochastic processes allowing for jumps as its starting and focal point, this book provides an accessible;

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Mean Field Simulation for Monte Carlo Integration

. Mean Field Simulation for Monte Carlo Integration presents the first comprehensive and modern mathematical treatment of mean field particle;

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Mean Field Simulation for Monte Carlo Integration

. Mean Field Simulation for Monte Carlo Integration presents the first comprehensive and modern mathematical treatment of mean field particle;

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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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Continuous Stochastic Calculus with Applications to Finance

Calculus with Application to Finance is your first opportunity to explore stochastic integration at a reasonable and practical mathematical level;

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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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Jumpin' With Jonah/Jonah Jumps Again .. Jonah/Jonah Jumps Again .. JONAH/JONAH JUMPS AGAIN. JONAH JONES, CD

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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 Processes

to the classic theory of stochastic processes. In turn, it also presents proofs of well-known results, sometimes together with new approaches;

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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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Sensory Integration

difficulty with sensory integration. How can you help children with this problem? The Sensory Integration Book helps identify children who have;

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Probability and Stochastics

the theory of stochastic processes, but with some attention to the applications. In many instances the gist of the problem is introduced;

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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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Parameter Estimation in Stochastic Volatility Models

This book develops alternative methods to estimate the unknown parameters in stochastic volatility models, offering a new approach to test;

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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 Analysis of Mixed Fractional Gaussian Processes

indices. Stochastic integration with respect to these processes is considered, as is the study of the existence and uniqueness of solutions;

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