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Applied Diffusion Processes from Engineering to Finance

to the different problems presented in the book. Advanced topics such as nonlinear problems, Levy processes and semi-Markov models;

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Statistical Inference for Fractional Diffusion Processes

diffusion processes and applied mathematicians and statisticians involved in stochastic process modelling will benefit from this book.;

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Applied Stochastic Processes

This book uses a distinctly applied framework to present the most important topics in stochastic processes, including Gaussian and;

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A Guide to First-Passage Processes

First-passage properties underlie a wide range of stochastic processes, such as diffusion-limited growth, neuron firing and the triggering;

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A Guide to First-Passage Processes

First-passage properties underlie a wide range of stochastic processes, such as diffusion-limited growth, neuron firing and the triggering;

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Stochastic Analysis, Stochastic Systems, And Applications To Finance

with the analysis of stochastic dynamical systems, in terms of Gaussian processes, white noise theory, and diffusion processes. The second part;

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An Introduction to Stochastic Processes

A vigorous response to the challenges of incorporating computer use into the teaching and learning of stochastic processes, this book takes;

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Markov Processes and Applications

diffusion processes, mathematical finance and stochastic calculus.* Applications of Markov processes to various fields, ranging from mathematical;

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Diffusion in Random Fields

numerical simulation approaches. The focus is on transport processes in natural porous media, with applications to contaminant transport;

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Applications of Levy Processes

Levy models. This book is comprised of seven chapters that focus on different approaches to solving applied problems under Levy processes;

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Fractional Calculus

diffusion equation, which generalizes the usual theory relating random walks to the diffusion equation. These methods can be applied in finance, to;

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Neutron Diffusion

. In view of the recent developments in nuclear engineering, it is important to study the basic concepts of this field along with the diffusion;

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Stochastic Models for Fractional Calculus

physics. It is used to model anomalous diffusion, in which a cloud of particles spreads in a different manner than traditional diffusion. This;

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Diffusion

This overview of diffusion and separation processes brings unsurpassed, engaging clarity to this complex topic. Diffusion is a key part;

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Diffusion in Solids

predict the occurrence of diffusion in alloys subjected to various processes. Major topic areas covered include diffusion equations, atomic theory;

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Introduction To Stochastic Calculus With Applications (3rd Edition)

in engineering it is applied to filter signal from noise. Not everything is proved, but enough proofs are given to make it a mathematically rigorous;

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Applied Biomedical Engineering Mechanics

Combining topics from numerous applications in biomechanics, Applied Biomedical Engineering Mechanics demonstrates how to analyze;

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Food Engineering Handbook, Two Volume Set

dehydration, and covers the key aspects of food engineering, from mass and heat transfer to steam and boilers, heat exchangers, diffusion, and;

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Computational Methods in Applied Science & Engineering

development activities in both academia and industry, in fields ranging from engineering, science, finance, and economics, to arts and humanities. New;

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Applied Mathematics in Engineering and Reliability

of Nonlinear Partial Differential Equations - Statistics and Applied Statistics, etc. The application areas range from Nuclear, Mechanical and;

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Mathematical Finance

literature in the field. Most textbooks on the subject are limited to diffusion-type models which cannot easily account for sudden price movements;

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Nonparametric Statistics for Diffusion Processes

Diffusion processes are widely used in many applied disciplines, such as biology, physics and financial mathematics. From the applied;

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Mass Transfer Processes

The All-in-One Guide to Mass Transport Phenomena: From Theory to Examples and Computation Mass transfer processes exist;

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Inference for Diffusion Processes

Diffusion processes are a promising instrument for realistically modelling the time-continuous evolution of phenomena not only in the;

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Distribution of Statistical Observables for Anomalous and Nonergodic Diffusions

diffusion from the perspectives of mathematics, computer science, statistical and biological physics, and chemistry. With this interdisciplinary;

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Bayesian Analysis of Stochastic Process Models

stochastic processes, providing a unified treatment. * Provides a thorough introduction for research students. * Computational tools to deal with;

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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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