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Inference for Diffusion Processes

Inference for Diffusion Processes

by Christiane Fuchs

Approximation theoryDifferential equationsMarkov processesDiffusion processesStochastic differential equations
0.0
Open Library
Open Library

About this book

<p>Diffusion processes are a promising instrument for realistically modelling the time-continuous evolution of phenomena not only in the natural sciences but also in finance and economics. Their mathematical theory, however, is challenging, and hence diffusion modelling is often carried out incorrectly, and the according statistical inference is considered almost exclusively by theoreticians. This book explains both topics in an illustrative way which also addresses practitioners. It provides a complete overview of the current state of research and presents important, novel insights. The theory is demonstrated using real data applications.</p>

Themes & subjects

Approximation theoryDifferential equationsMarkov processesDiffusion processesStochastic differential equationsDiffusion

Author

Christiane Fuchs

Pages

449

Read time

≈ 11h

Editions

4

Language

English

Publisher

Springer

ISBN

9783642259692

Where to buy

TR
Amazon Bookshop

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