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Comparison Methods for Stochastic Models and Risks

Stochastic order relations prprovide a valuable insight into the behaviour of complex stochastic (random) systems and enable the user to;

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Stochastic Relations

Collecting information previously scattered throughout the vast literature, including the author's own research, Stochastic Relations;

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Stochastic Relations

Collecting information previously scattered throughout the vast literature, including the author's own research, Stochastic Relations;

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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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Probability on Real Lie Algebras

classical and quantum stochastic processes on Lie algebras. In the early chapters, focus is placed on concrete examples of the links between;

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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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Stochastic Modeling & Optimization Methods

This book has discussed some stochastic models on cancer cell growth with Bi-variate stochastic processes. The pathophysiology of cancer;

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Estimates of Stochastic Processes with Stationary Increments and Cointegrated Sequences

Estimation of Stochastic Processes is intended for researchers in the field of econometrics, financial mathematics, statistics or signal;

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Cambridge Studies in Advanced Mathematics

analysis and stochastic analysis. It focuses on 'dimension' as a basic counter of degrees of freedom, leading to precise relations between;

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Stochastic Analysis on Manifolds

dominant theme of the book is the probabilistic interpretation of the curvature of a manifold.The book begins with a brief review of stochastic;

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Probabilistic methods of investigating interior smoothness of harmonic functions associated with degenerate elliptic operators

The lectures concentrate on some old and new relations between quasiderivatives of solutions to Ito stochastic equations and interior;

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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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Stochastic Dynamics in Computational Biology

reaction systems, investigating relations between both the conventional models and several types of deterministic-stochastic hybrid model;

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Stochastic Resonance

Stochastic resonance has been observed in many forms of systems, and has been hotly debated by scientists for over 30 years. Applications;

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Stochastic Resonance

Stochastic resonance has been observed in many forms of systems, and has been hotly debated by scientists for over 30 years. Applications;

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Stochastic Economic Dynamics

This book analyses stochastic dynamic systems across a broad spectrum in economics and finance. The major unifying theme is the coherent;

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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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Stochastic Biomathematical Models

Stochastic biomathematical models are becoming increasingly important as new light is shed on the role of noise in living systems;

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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 Models with Power-Law Tails

probabilistic study of the stochastic recurrence equation X_t=A_tX_{t-1}+B_t for real- and matrix-valued random variables A_t, where (A_t,B_t;

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Stochastic Model Checking

The use of stochastic models in computer science is wide spread, for instance in performance modeling, analysis of randomized algorithms;

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Stochastic Methods in Economics and Finance

: martingale methods, stochastic processes, optimal stopping, the modeling of uncertainty using a Wiener process, Ito's Lemma as a tool of stochastic;

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Deterministic Versus Stochastic Modelling in Biochemistry and Systems Biology

Stochastic kinetic methods are currently considered to be the most realistic and elegant means of representing and simulating the dynamics;

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New Trends In Stochastic Analysis And Related Topics

The volume is dedicated to Professor David Elworthy to celebrate his fundamental contribution and exceptional influence on stochastic;

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Control and System Theory of Discrete-Time Stochastic Systems

discrete-time stochastic systems so that they can then apply its principles to their own stochastic control systems and to the solution of control;

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