Paperback. Condition: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Language: English
Published by Cambridge University Press, 2025
ISBN 10: 100928844X ISBN 13: 9781009288446
Seller: Books From California, Simi Valley, CA, U.S.A.
hardcover. Condition: Very Good. Cover and edges may have some wear.
Published by Institute of Design, 1995
First Edition
Softcover. Condition: Near Fine. First Edition. Special Issue: Money! Near Fine white paperback. Pages: 265-435, unmarked. Dawn Barrett, Sandra Smith, Manuel Gonzalez, Marc Shell, Christopher Nemeth ; ECR U8U; 8vo 8" - 9" tall.
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Hardcover. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Language: English
Published by Cambridge University Press, 2025
ISBN 10: 100928844X ISBN 13: 9781009288446
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Condition: New.
Language: English
Published by Cambridge University Press, 2025
ISBN 10: 100928844X ISBN 13: 9781009288446
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Language: English
Published by Cambridge University Press, 2025
ISBN 10: 100928844X ISBN 13: 9781009288446
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Published by Cambridge University Press, 2025
ISBN 10: 100928844X ISBN 13: 9781009288446
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Language: English
Published by Cambridge University Press, 2025
ISBN 10: 100928844X ISBN 13: 9781009288446
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Language: English
Published by Cambridge University Press, 2025
ISBN 10: 100928844X ISBN 13: 9781009288446
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Language: English
Published by Cambridge University Press, GB, 2025
ISBN 10: 100928844X ISBN 13: 9781009288446
Seller: Rarewaves USA, OSWEGO, IL, U.S.A.
Hardback. Condition: New. A graduate-level introduction to advanced topics in Markov chain Monte Carlo (MCMC), as applied broadly in the Bayesian computational context. The topics covered have emerged as recently as the last decade and include stochastic gradient MCMC, non-reversible MCMC, continuous time MCMC, and new techniques for convergence assessment. A particular focus is on cutting-edge methods that are scalable with respect to either the amount of data, or the data dimension, motivated by the emerging high-priority application areas in machine learning and AI. Examples are woven throughout the text to demonstrate how scalable Bayesian learning methods can be implemented. This text could form the basis for a course and is sure to be an invaluable resource for researchers in the field.
Language: English
Published by Cambridge University Press, 2025
ISBN 10: 100928844X ISBN 13: 9781009288446
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Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. pp. 280.
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Language: English
Published by Cambridge University Press -, 2025
ISBN 10: 100928844X ISBN 13: 9781009288446
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hardcover. Condition: New.
Language: English
Published by Cambridge University Press, 2025
ISBN 10: 100928844X ISBN 13: 9781009288446
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Hardcover. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Language: English
Published by Cambridge University Press, GB, 2025
ISBN 10: 100928844X ISBN 13: 9781009288446
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Hardback. Condition: New. A graduate-level introduction to advanced topics in Markov chain Monte Carlo (MCMC), as applied broadly in the Bayesian computational context. The topics covered have emerged as recently as the last decade and include stochastic gradient MCMC, non-reversible MCMC, continuous time MCMC, and new techniques for convergence assessment. A particular focus is on cutting-edge methods that are scalable with respect to either the amount of data, or the data dimension, motivated by the emerging high-priority application areas in machine learning and AI. Examples are woven throughout the text to demonstrate how scalable Bayesian learning methods can be implemented. This text could form the basis for a course and is sure to be an invaluable resource for researchers in the field.
Language: English
Published by Cambridge University Press, 2025
ISBN 10: 100928844X ISBN 13: 9781009288446
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pp. 280.
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Condition: As New. Unread book in perfect condition.
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Language: English
Published by Taylor & Francis Ltd, 2017
ISBN 10: 1138071781 ISBN 13: 9781138071780
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
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First Edition
Condition: Good. 1st Edition. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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First Edition
Condition: Very Good. 1st Edition. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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First Edition
Condition: Very Good. 1st Edition. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Language: English
Published by Cambridge University Press, 2025
ISBN 10: 100928844X ISBN 13: 9781009288446
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition.