Bayesian time series models / edited by David Barber, A. Taylan Cemgil, Silvia Chiappa.
"'What's going to happen next?' Time series data hold the answers, and Bayesian methods represent the cutting edge in learning what they have to say. This ambitious book is the first unified treatment of the emerging knowledge-base in Bayesian time series techniques. Exploiting the unifying framewor...
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Other Authors: | , , |
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Language: | English |
Published: |
Cambridge, UK ; New York :
Cambridge University Press,
2011.
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Subjects: | |
Physical Description: | xiii, 417 pages : illustrations ; 26 cm |
Format: | Book |
MSU Main Library
Call Number: |
QA280 .B39 2011
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QA280 .B39 2011 | Available Get this |