Optimal estimation of parameters - Info and Reading Options
By Jorma Rissanen
"Optimal estimation of parameters" was published by Cambridge University Press in 2012 - Cambridge, it has 162 pages and the language of the book is English.
“Optimal estimation of parameters” Metadata:
- Title: ➤ Optimal estimation of parameters
- Author: Jorma Rissanen
- Language: English
- Number of Pages: 162
- Publisher: Cambridge University Press
- Publish Date: 2012
- Publish Location: Cambridge
“Optimal estimation of parameters” Subjects and Themes:
- Subjects: Estimation theory
Edition Specifications:
- Pagination: pages cm
Edition Identifiers:
- The Open Library ID: OL25252736M - OL16564319W
- Online Computer Library Center (OCLC) ID: 779244870
- Library of Congress Control Number (LCCN): 2012007503
- ISBN-13: 9781107004740
- All ISBNs: 9781107004740
AI-generated Review of “Optimal estimation of parameters”:
"Optimal estimation of parameters" Table Of Contents:
- 1- Machine generated contents note: 1. Introduction; 2. Coding; 3. Basics of information; 4. Modeling problem; 5. Other optimality properties; 6. Interval estimation; 7. Hypothesis testing; 8. Denoising; 9. Sequential models; Appendix A. Elements of algorithmic information; Appendix B. Universal prior for integers.
"Optimal estimation of parameters" Description:
The Open Library:
"This book presents a comprehensive and consistent theory of estimation. The framework described leads naturally to a generalized maximum capacity estimator. This approach allows the optimal estimation of real-valued parameters, their number and intervals, as well as providing common ground for explaining the power of these estimators. Beginning with a review of coding and the key properties of information, the author goes on to discuss the techniques of estimation and develops the generalized maximum capacity estimator, based on a new form of Shannon's mutual information and channel capacity. Applications of this powerful technique in hypothesis testing and denoising are described in detail. Offering an original and thought-provoking perspective on estimation theory, Jorma Rissanen's book is of interest to graduate students and researchers in the fields of information theory, probability and statistics, econometrics and finance"--
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