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Stochastic Tools in Mathematics and Science

Stochastic Tools in Mathematics and Science covers basic stochastic tools used in physics, chemistry, engineering and the life sciences;

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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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Basic Stochastic Processes

Stochastic processes are tools used widely by statisticians and researchers working in the mathematics of finance. This book for self-study;

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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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Tropical Intraseasonal Variability and the Stochastic Skeleton Method

the Madden-Julian oscillation (MJO), i.e. the stochastic skeleton model. This model captures the fundamental features of the MJO and offers a;

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Stochastic Modeling of Microstructures

This book is for a general scientific and engineering audience as a guide to current ideas, methods, and models for stochastic modeling;

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Probability and Statistics with Reliability, Queuing, and Computer Science Applications

An accessible introduction to probability, stochastic processes, and statistics for computer science and engineering applications This;

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Mathematical Analysis Of Random Phenomena - Proceedings Of The International Conference

equations, stochastic geometry, and nonlinear partial differential equations.While modern stochastic analysis may appear to be an abstract mixture;

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Microstructural Randomness and Scaling in Mechanics of Materials

An area at the intersection of solid mechanics, materials science, and stochastic mathematics, mechanics of materials often necessitates a;

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Stochastic Dynamics, Filtering and Optimization

introduction to a measure-theoretic framework in laying out the definitions and basic concepts of random variables and stochastic diffusion processes;

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Stochastic Dominance and Applications to Finance, Risk and Economics

Drawing from many sources in the literature, Stochastic Dominance and Applications to Finance, Risk and Economics illustrates how;

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Markov Random Flights

dimensions. Markov random flights is a stochastic dynamic system subject to the control of an external Poisson process and represented by the;

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Recent Advances in Mathematics and Technology

science are presented by leading experts in these fields. There is a particular emphasis on stochastic analysis, machine learning algorithms, and;

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Recent Advances in Mathematics and Technology

science are presented by leading experts in these fields. There is a particular emphasis on stochastic analysis, machine learning algorithms, and;

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Probability and Statistics with Reliability, Queuing and Computer Science Applications

An accessible introduction to probability, stochastic processes, and statistics for computer science and engineering applications This;

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Stochastic Integration Theory

Finance, and Economics, the book not only covers the theory of the stochastic integral in great depth but also presents the associated theory;

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Risk Analysis in Finance and Insurance

Second Edition Expanded section on the foundations of probability and stochastic analysis Coverage of new topics, including;

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Risk Analysis in Finance and Insurance

Second Edition Expanded section on the foundations of probability and stochastic analysis Coverage of new topics, including;

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Derivatives Financial Markets Stochastic

is suitable for a one semester course for graduate students who have had exposure to methods of stochastic modeling and arbitrage pricing theory;

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Recent Development in Stochastic Dynamics and Stochastic Analysis

Stochastic dynamical systems and stochastic analysis are of great interests not only to mathematicians but also to scientists in other;

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The Probability Companion for Engineering and Computer Science

methods, Bayesian inference and stochastic processes. It draws on thirty years of experience in applying probabilistic methods to problems;

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The Probability Companion for Engineering and Computer Science

methods, Bayesian inference and stochastic processes. It draws on thirty years of experience in applying probabilistic methods to problems;

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Grammars and Automata for String Processing

The conventional wisdom was that biology influenced mathematics and computer science. But a new approach has taken hold: that;

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Options Pricing and Portfolio Optimization

calculus, stochastic control, differential equations, martingales, and so on. The authors give rigorous treatments of these topics, while always;

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Applied Probability and Stochastic Processes

Applied Probability and Stochastic Processes, Second Edition presents a self-contained introduction to elementary probability theory and;

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Applied Probability and Stochastic Processes

Applied Probability and Stochastic Processes, Second Edition presents a self-contained introduction to elementary probability theory and;

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Encyclopedia of Mathematics and its Applications

. Stochastic parabolic and hyperbolic equations on domains of arbitrary dimensions are studied, and applications to statistical and fluid mechanics and;

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