Bayesian Filtering and Smoothing (Institute of Mathematical Statistics Textbooks, Series Number 3)

Särkkä, Simo

ISBN 10: 1107619289 / ISBN 13: 9781107619289

Editore: Cambridge University Press, 2013

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Text block, wraps and binding are in like new condition, without markings of any kind. Well packaged and promptly shipped from California. Partnered with Friends of the Library since 2010.

Codice articolo 1LAUHV002OOS

Dati bibliografici

• Titolo: Bayesian Filtering and Smoothing (Institute of Mathematical Statistics Textbooks, Series Number 3)
• Editore: Cambridge University Press
• Data di pubblicazione: 2013
• Lingua: Inglese
• ISBN 10: 1107619289
• ISBN 13: 9781107619289
• Rilegatura: Brossura
• Condizione: LikeNew

Descrizione articolo

Riassunto

A unified Bayesian treatment of the state-of-the-art filtering, smoothing, and parameter estimation algorithms for non-linear state space models.

Informazioni sull?autore

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.