Bayesian Filtering and Smoothing - Info and Reading Options
By Simo Sarkka

"Bayesian Filtering and Smoothing" is published by Cambridge University Press in Oct 21, 2013, it has 256 pages and the language of the book is English.
“Bayesian Filtering and Smoothing” Metadata:
- Title: ➤ Bayesian Filtering and Smoothing
- Author: Simo Sarkka
- Language: English
- Number of Pages: 256
- Publisher: Cambridge University Press
- Publish Date: Oct 21, 2013
“Bayesian Filtering and Smoothing” Subjects and Themes:
- Subjects: ➤ Bayesian statistical decision theory - Smoothing (Statistics) - Filters (Mathematics) - Statistics - Mathematics
Edition Specifications:
- Format: paperback
Edition Identifiers:
- The Open Library ID: OL27576268M - OL20364083W
- Online Computer Library Center (OCLC) ID: 840462877
- Library of Congress Control Number (LCCN): 2012285440
- ISBN-13: 9781107619289
- ISBN-10: 1107619289
- All ISBNs: 1107619289 - 9781107619289
AI-generated Review of “Bayesian Filtering and Smoothing”:
"Bayesian Filtering and Smoothing" Description:
The Open Library:
"Filtering and smoothing methods are used to produce an accurate estimate of the state of a time-varying system based on multiple observational inputs (data). Interest in these methods has exploded in recent years, with numerous applications emerging in fields such as navigation, aerospace engineering, telecommunications and medicine. This compact, informal introduction for graduate students and advanced undergraduates presents the current state-of-the-art filtering and smoothing methods in a unified Bayesian framework."--Cover.
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