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Potential Analysis of Stable Processes and its Extensions

in financial mathematics. This book is about the potential theory of stable stochastic processes. It also deals with related topics, such as the;

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Theory of Stochastic Objects

areas; statistical inference, measure-theoretic probability theory and stochastic processes. This point of view has not been explored by;

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Theory of Stochastic Objects

areas; statistical inference, measure-theoretic probability theory and stochastic processes. This point of view has not been explored by;

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Cambridge Studies in Advanced Mathematics

The main purpose of this book is to give a systematic treatment of the theory of stochastic differential equations and stochastic flow;

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Stochastic Methods in Economics and Finance

, pricing, job search, stochastic capital theory, stochastic economic growth, the rational expectations hypothesis, a stochastic macroeconomic model;

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Semimartingale Theory and Stochastic Calculus

Semimartingale Theory and Stochastic Calculus presents a systematic and detailed account of the general theory of stochastic processes, the;

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Stochastic Calculus for Quantitative Finance

investigations in many applications of the arbitrage theory on a mathematically rigorous basis of stochastic calculus. Mathematical Basis for Finance;

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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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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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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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Portfolio Optimization with Different Information Flow

of filtration theory, stochastic calculus, convex analysis, optimal stochastic control, and backward stochastic differential equations;

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Stochastic Partial Differential Equations

concrete problems before proceeding to a unified theory of stochastic evolution equations and describing applications, such as turbulence in fluid;

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Combinatorial Stochastic Processes

of combinatorics and stochastic processes. There is particular focus on the theory of random combinatorial structures such as partitions, permutations;

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Control and System Theory of Discrete-Time Stochastic Systems

This book helps students, researchers, and practicing engineers to understand the theoretical framework of control and system theory for;

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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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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 Processes for Physicists

provides a solid understanding of stochastic processes and stochastic calculus in physics, without the need for measure theory. In avoiding measure;

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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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Introduction to Option Pricing Theory

important role in the development of the mathematical theory of finance. This work examines, in some detail, that part of stochastic finance;

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Limit Theorems for Stochastic Processes

. Coverage develops in detail useful parts of the general theory of stochastic processes, such as martingale problems and absolute continuity or;

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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 World

This book is an introduction into stochastic processes for physicists, biologists and financial analysts. Using an informal approach, all;

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Model Theory of Stochastic Processes

This book presents new research in probability theory using ideas from mathematical logic. It is a general study of stochastic processes on;

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Stochastic Modeling for Medical Image Analysis

Stochastic Modeling for Medical Image Analysis provides a brief introduction to medical imaging, stochastic modeling, and model-guided;

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Mathematical Control Theory for Stochastic Partial Differential Equations

This is the first book to systematically present control theory for stochastic distributed parameter systems, a comparatively new branch;

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