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Multifractional Stochastic Fields

of Multifractional Fields. Multifractional means that fractal properties of models, typically, roughness of paths and self-similarity of probability;

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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 Processes and their Applications

Stochastic Processes and their Applications illustrates the theoretical knowledge of random variables along with some practical skills to;

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Stochastic Analysis In Mathematical Physics - Proceedings Of A Satellite Conference Of Icm 2006

The ideas and principles of stochastic analysis have managed to penetrate into various fields of pure and applied mathematics in the last;

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Portfolio Optimization with Different Information Flow

Portfolio Optimization with Different Information Flow recalls the stochastic tools and results concerning the stochastic;

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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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Stochastic Programming

Brings together leading in the most important sub-fields of stochastic programming to present a rigourous overview of basic models;

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Stochastic Differential Equations

Stochastic calculus and stochastic differential equations play an assertive role in many applications including physics, biology, financial;

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Stochastic Partial Differential Equations and Applications - VII

Stochastic Partial Differential Equations and Applications gives an overview of current state-of-the-art stochastic PDEs in several fields;

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Intro To Computational Stochastic PDEs

This book gives a comprehensive introduction to numerical methods and analysis of stochastic processes, random fields and stochastic;

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An Introduction to Computational Stochastic PDEs

This book gives a comprehensive introduction to numerical methods and analysis of stochastic processes, random fields and stochastic;

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Trends in Stochastic Analysis

Presenting important trends in the field of stochastic analysis, this collection of thirteen articles provides an overview of recent;

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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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Elements Of Stochastic Dynamics

Stochastic dynamics has been a subject of interest since the early 20th Century. Since then, much progress has been made in this field;

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Stochastic Geometry, Spatial Statistics and Random Fields: Asymptotic Methods

This volume provides a modern introduction to stochastic geometry, random fields and spatial statistics at a (post)graduate level. It;

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Mathematical Physics at Saint-Flour

, Edward: Stochastic mechanics and random fields.- Albeverio, Sergio: Theory of Dirichlet forms and 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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Fundamentals of Stochastic Nature Sciences

This book addresses the processes of stochastic structure formation in two-dimensional geophysical fluid dynamics based on statistical;

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Fundamentals of Stochastic Nature Sciences

This book addresses the processes of stochastic structure formation in two-dimensional geophysical fluid dynamics based on statistical;

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Recent Advances In Stochastic Modeling And Data Analysis

This volume presents the most recent applied and methodological issues in stochastic modeling and data analysis. The contributions cover;

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Stochastic Orders in Reliability and Risk

Stochastic Orders in Reliability and Risk Management is composed of 19 contributions on the theory of stochastic orders, stochastic;

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An Introduction to Stochastic Orders

An Introduction to Stochastic Orders discusses this powerful tool that can be used in comparing probabilistic models in different;

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Bayesian Analysis of Stochastic Process Models

Bayesian analysis of complex models based on stochastic processes has in recent years become a growing area. This book provides a unified;

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Stochastic Modelling of Reactionâ Diffusion Processes

This practical introduction to stochastic reaction-diffusion modelling is based on courses taught at the University of Oxford. The authors;

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Stochastic Modelling of Reaction-Diffusion Processes

This practical introduction to stochastic reaction-diffusion modelling is based on courses taught at the University of Oxford. The authors;

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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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