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Rowe, Daniel B (15 results)
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Multivariate Bayesian Statistics: Models for Source Separation and Signal Unmixing
Language: English
Published by Chapman and Hall/CRC, 2002
ISBN 10: 1584883189 ISBN 13: 9781584883180
hardcover. Condition: new.
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Multivariate Bayesian Statistics : Models for Source Separation and Signal Unmixing
Language: English
Published by Chapman and Hall/CRC, 2019
ISBN 10: 0367454661 ISBN 13: 9780367454661
Condition: As New. Unread book in perfect condition.
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Multivariate Bayesian Statistics: Models for Source Separation and Signal Unmixing
Language: English
Published by Chapman and Hall/CRC, 2019
ISBN 10: 0367454661 ISBN 13: 9780367454661
Condition: New. pp. 352.
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Multivariate Bayesian Statistics : Models for Source Separation and Signal Unmixing
Language: English
Published by Chapman and Hall/CRC, 2019
ISBN 10: 0367454661 ISBN 13: 9780367454661
Condition: New.
-
Multivariate Bayesian Statistics : Models for Source Separation and Signal Unmixing
Language: English
Published by Chapman and Hall/CRC, 2019
ISBN 10: 0367454661 ISBN 13: 9780367454661
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Multivariate Bayesian Statistics: Models for Source Separation and Signal Unmixing
Language: English
Published by Taylor & Francis Ltd, 2019
ISBN 10: 0367454661 ISBN 13: 9780367454661
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 185.
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Multivariate Bayesian Statistics: Models for Source Separation and Signal Unmixing
Language: English
Published by Chapman and Hall/CRC, 2019
ISBN 10: 0367454661 ISBN 13: 9780367454661
Condition: New. pp. 352.
-
Multivariate Bayesian Statistics : Models for Source Separation and Signal Unmixing
Language: English
Published by Chapman and Hall/CRC, 2019
ISBN 10: 0367454661 ISBN 13: 9780367454661
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
-
Multivariate Bayesian Statistics: Models for Source Separation and Signal Unmixing
Language: English
Published by Chapman and Hall/CRC, 2019
ISBN 10: 0367454661 ISBN 13: 9780367454661
Condition: New. pp. 352.
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Paperback. Condition: Brand New. 352 pages. 9.21x6.14x0.79 inches. In Stock.
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Episcopate: The Role of Bishops in a Shared Future
Language: English
Published by Church Publishing 2022-06-02, 2022
ISBN 10: 1640655530 ISBN 13: 9781640655539
Paperback. Condition: New.
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Taschenbuch. Condition: Neu. Multivariate Bayesian Statistics | Models for Source Separation and Signal Unmixing | Daniel B. Rowe | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2019 | Taylor & Francis | EAN 9780367454661 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Multivariate Bayesian Statistics: Models for Source Separation and Signal Unmixing
Language: English
Published by Chapman and Hall/CRC, 2019
ISBN 10: 0367454661 ISBN 13: 9780367454661
Paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Multivariate Bayesian Statistics
Language: English
Published by Taylor & Francis, Chapman And Hall/CRC, 2019
ISBN 10: 0367454661 ISBN 13: 9780367454661
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Of the two primary approaches to the classic source separation problem, only one does not impose potentially unreasonable model and likelihood constraints: the Bayesian statistical approach. Bayesian methods incorporate the available information regarding the model parameters and not only allow estimation of the sources and mixing coefficients, but also allow inferences to be drawn from them.Multivariate Bayesian Statistics: Models for Source Separation and Signal Unmixing offers a thorough, self-contained treatment of the source separation problem. After an introduction to the problem using the 'cocktail-party' analogy, Part I provides the statistical background needed for the Bayesian source separation model. Part II considers the instantaneous constant mixing models, where the observed vectors and unobserved sources are independent over time but allowed to be dependent within each vector. Part III details more general models in which sources can be delayed, mixing coefficients can change over time, and observation and source vectors can be correlated over time. For each model discussed, the author gives two distinct ways to estimate the parameters.Real-world source separation problems, encountered in disciplines from engineering and computer science to economics and image processing, are more difficult than they appear. This book furnishes the fundamental statistical material and up-to-date research results that enable readers to understand and apply Bayesian methods to help solve the many 'cocktail party' problems they may confront in practice. 350 pp. Englisch.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Daniel B. Rowe holds a joint appointment as an assistant professor of Biophysics and Biostatistics at the Medical College of Wisconsin, Milwaukee, Wisconsin, USA.Of the two primary approaches to the classic source separation problem, only one doe.
