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Synopsis
The first unified treatment of time series modelling techniques spanning machine learning, statistics, engineering and computer science.
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About the Authors
David Barber is a Reader in Information Processing at University College London.
A. Taylan Cemgil is an Assistant Professor in the Department of Computer Engineering at Boğaziçi University, Istanbul.
Silvia Chiappa is a Marie Curie Fellow at the Statistical Laboratory, Cambridge.
"About this title" may belong to another edition of this title.
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Bayesian Time Series Models
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Bayesian Time Series Models
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ISBN 13: 9780521196765
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Bayesian Time Series Models [Hardcover] Barber, David
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Bayesian Time Series Models
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Bayesian Time Series Models
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Condition: New. The first unified treatment of time series modelling techniques spanning machine learning, statistics, engineering and computer science. Editor(s): Barber, David; Cemgil, A. Taylan; Chiappa, Silvia. Num Pages: 432 pages, 135 b/w illus. 25 tables. BIC Classification: PBT. Category: (U) Tertiary Education (US: College). Dimension: 248 x 181 x 26. Weight in Grams: 914. . 2011. New. hardcover. . . . . Seller Inventory # V9780521196765
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