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Bayesian Filtering and Smoothing (Institute of Mathematical Statistics Textbooks Book 3) by [Simo Särkkä]

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Bayesian Filtering and Smoothing (Institute of Mathematical Statistics Textbooks Book 3) 1st Edition, Kindle Edition

4.6 4.6 out of 5 stars 16 ratings

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Product description

Book Description

A unified Bayesian treatment of the state-of-the-art filtering, smoothing, and parameter estimation algorithms for non-linear state space models. --This text refers to the paperback edition.

About the Author

Simo Särkkä worked, from 2000 to 2010, with Nokia Ltd, Indagon Ltd and Nalco Company in various industrial research projects related to telecommunications, positioning systems and industrial process control. Currently, he is a Senior Researcher with the Department of Biomedical Engineering and Computational Science at Aalto University, Finland, and Adjunct Professor with Tampere University of Technology and Lappeenranta University of Technology. In 2011 he was a visiting scholar with the Signal Processing and Communications Laboratory of the Department of Engineering at the University of Cambridge. His research interests are in state and parameter estimation in stochastic dynamic systems, and in particular, Bayesian methods in signal processing, machine learning, and inverse problems with applications to brain imaging, positioning systems, computer vision and audio signal processing. He is a Senior Member of IEEE. --This text refers to the paperback edition.

Product details

  • ASIN ‏ : ‎ B00E99YQQM
  • Publisher ‏ : ‎ Cambridge University Press; 1st edition (Sept. 5 2013)
  • Language ‏ : ‎ English
  • File size ‏ : ‎ 11978 KB
  • Simultaneous device usage ‏ : ‎ Up to 4 simultaneous devices, per publisher limits
  • Text-to-Speech ‏ : ‎ Enabled
  • Screen Reader ‏ : ‎ Supported
  • Enhanced typesetting ‏ : ‎ Enabled
  • X-Ray ‏ : ‎ Not Enabled
  • Word Wise ‏ : ‎ Not Enabled
  • Sticky notes ‏ : ‎ On Kindle Scribe
  • Print length ‏ : ‎ 258 pages
  • Page numbers source ISBN ‏ : ‎ 1107619289
  • Customer Reviews:
    4.6 4.6 out of 5 stars 16 ratings

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4.6 out of 5 stars
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FengYin
5.0 out of 5 stars Excellent book!
Reviewed in Germany 🇩🇪 on April 12, 2014
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K. Hicks
4.0 out of 5 stars Good reference, but the notation is a little different
Reviewed in the United States 🇺🇸 on March 5, 2014
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4 people found this helpful
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Evandro Luiz da Costa
5.0 out of 5 stars Outstanding reference book!
Reviewed in the United States 🇺🇸 on November 13, 2013
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