Inference for Diffusion Processes - Info and Reading Options
With Applications in Life Sciences
By Christiane Fuchs

"Inference for Diffusion Processes" is published by Springer in Jan 16, 2013 and it has 449 pages.
“Inference for Diffusion Processes” Metadata:
- Title: ➤ Inference for Diffusion Processes
- Author: Christiane Fuchs
- Number of Pages: 449
- Publisher: Springer
- Publish Date: Jan 16, 2013
“Inference for Diffusion Processes” Subjects and Themes:
- Subjects: ➤ Approximation theory - Differential equations - Markov processes - Diffusion processes - Stochastic differential equations - Diffusion - Life sciences - Biometry - Statistics - Statistical methods - Mathematical statistics - Economics - Statistical Theory and Methods - Statistics for Life Sciences, Medicine, Health Sciences - Statistics for Business/Economics/Mathematical Finance/Insurance
Edition Specifications:
- Format: hardcover
Edition Identifiers:
- The Open Library ID: OL30619881M - OL20773068W
- Library of Congress Control Number (LCCN): 2012950004
- ISBN-13: 9783642259685
- ISBN-10: 3642259685
- All ISBNs: 3642259685 - 9783642259685
AI-generated Review of “Inference for Diffusion Processes”:
"Inference for Diffusion Processes" Description:
The Open Library:
<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>
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