Institute of Mathematical Statistics Textbooks: Bayesian Filtering and Smoothing Series Number 3 [Audiobook] download free by Simo Sarkka

Institute of Mathematical Statistics Textbooks: Bayesian Filtering and Smoothing Series Number 3 Audiobook download free by Simo Sarkka
  • Listen audiobook: Institute of Mathematical Statistics Textbooks: Bayesian Filtering and Smoothing Series Number 3
  • Author: Simo Sarkka
  • Release date: 2017/9/29
  • Publisher: CAMBRIDGE UNIVERSITY PRESS
  • Language: English
  • Genre or Collection: Computing
  • ISBN: 9781107619289
  • Rating: 8.26 of 10
  • Votes: 749
  • Review by: Lillie Bauman
  • Review rating: 7.25 of 10
  • Review Date: 2018/9/7
  • Duration: 3H5M32S in 256 kbps (50.4 MB)
  • Date of creation of the audiobook: 2018-08-10
  • You can listen to this audiobook in formats: WMA, MP3, Musepack, WAV, MOD, FLAC, MPEG4, Apple Lossless (compression TZO, ZIP, 7Z, RAR, ALZ)
  • Total pages original book: 252
  • Includes a PDF summary of 26 pages
  • Duration of the summary (audio): 19M48S (5.2 MB)
  • Description or summary of the audiobook: 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. Readers learn what non-linear Kalman filters and particle filters are, how they are related, and their relative advantages and disadvantages. They also discover how state-of-the-art Bayesian parameter estimation methods can be combined with state-of-the-art filtering and smoothing algorithms. The book's practical and algorithmic approach assumes only modest mathematical prerequisites. Examples include Matlab computations, and the numerous end-of-chapter exercises include computational assignments. Matlab code is available for download at www.cambridge.org/sarkka, promoting hands-on work with the methods.
  • Other categories, genre or collection: Algorithms & Data Structures, Stochastics, Probability & Statistics
  • Download servers: FreakShare, Microsoft OneDrive, UsersCloud, Google Drive, Dropbox. Compressed in TZO, ZIP, 7Z, RAR, ALZ
  • Format: Paperback
  • Approximate value: 47.90 USD
  • Dimensions: 152x228x12mm
  • Weight: 420g
  • Printed by: Not Available
  • Published in: Cambridge, United Kingdom

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