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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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Censoring and Stochastic Integrals

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Stochastic Integrals

to learn about stochastic integrals. The author starts with the presentation of Brownian motion, then deals with stochastic integrals and;

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Stochastic PDEs and Dynamics

This book explains mathematical theories of a collection of stochastic partial differential equations and their dynamical behaviors. Based;

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Stochastic Partial Differential Equations

been a surge of interest in stochastic partial differential equations (PDEs) driven by the Levy type of noise. Stochastic Partial Differential;

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From Measures to Ito Integrals

look at martingale calculus. Modern probability theory and the applications of stochastic processes rely heavily on an understanding of basic;

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Levy Processes & Stochastic Calculus

Levy processes form a wide and rich class of random process, and have many applications ranging from physics to finance. Stochastic;

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Mathematical Feynman Path Integrals And Their Applications

the other hand a connection with the classical theory of stochastic processes. Moreover, new chapters containing recent applications to;

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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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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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Approximation

polynomials, splines, and operators, and applications to stochastics; numerical methods for approximation of deterministic and stochastic integrals;

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Weak Convergence of Financial Markets

A comprehensive overview of weak convergence of stochastic processes and its application to the study of financial markets. Split into;

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Methods of Bosonic Path Integrals Representations

path integral variable change on previously obtained path integral solutions for difficult stochastic and functional equations by keeping the;

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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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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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Stochastic Analysis

Thanks to the driving forces of the Ito calculus and the Malliavin calculus, stochastic analysis has expanded into numerous fields;

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Advanced Mathematical Tools for Automatic Control Engineers: Volume 2

Advanced Mathematical Tools for Automatic Control Engineers, Volume 2: Stochastic Techniques provides comprehensive discussions on;

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Encyclopedia of Mathematics and its Applications

Recent years have seen an explosion of interest in stochastic partial differential equations where the driving noise is discontinuous;

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Quantum Many-Particle Systems

based on functional integrals; general arguments based on order parameters, symmetry, and Fermi liquid theory; and stochastic methods.;

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Quantum Many-particle Systems

based on functional integrals; general arguments based on order parameters, symmetry, and Fermi liquid theory; and stochastic methods.;

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Path Integrals in Physics

Path Integrals in Physics: Volume I, Stochastic Processes and Quantum Mechanics presents the fundamentals of path integrals, both the;

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Path Integrals in Physics

Path Integrals in Physics: Volume I, Stochastic Processes and Quantum Mechanics presents the fundamentals of path integrals, both the;

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Brownian Motion

Stochastic processes occur everywhere in the sciences, economics and engineering, and they need to be understood by (applied;

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Descent Directions and Efficient Solutions in Discretely Distributed Stochastic Programs

expected costs arising from the deviation between the output of a stochastic linear system and a desired stochastic target vector are minimal;

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Stochastic Calculus for Finance

This book focuses specifically on the key results in stochastic processes that have become essential for finance practitioners to;

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