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Scalable Monte Carlo for Bayesian Learning (Institute of Mathematical Statistics Monographs)
Language: English
Published by Cambridge University Press, 2025
ISBN 10: 100928844X ISBN 13: 9781009288446
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 4 out of 5 stars
hardcover. Condition: Very Good. Cover and edges may have some wear.
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Scalable Monte Carlo for Bayesian Learning
Language: English
Published by Cambridge University Press, 2025
ISBN 10: 100928844X ISBN 13: 9781009288446
Condition: New.
-
Scalable Monte Carlo for Bayesian Learning (Institute of Mathematical Statistics Monographs)
Language: English
Published by Cambridge University Press, 2025
ISBN 10: 100928844X ISBN 13: 9781009288446
Condition: New.
-
Scalable Monte Carlo for Bayesian Learning (Institute of Mathematical Statistics Monographs)
Language: English
Published by Cambridge University Press, 2025
ISBN 10: 100928844X ISBN 13: 9781009288446
Condition: New.
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Scalable Monte Carlo for Bayesian Learning
Language: English
Published by Cambridge University Press, 2025
ISBN 10: 100928844X ISBN 13: 9781009288446
Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Scalable Monte Carlo for Bayesian Learning (Institute of Mathematical Statistics Monographs)
Language: English
Published by Cambridge University Press, 2025
ISBN 10: 100928844X ISBN 13: 9781009288446
Condition: New.
-
Scalable Monte Carlo for Bayesian Learning
Language: English
Published by Cambridge University Press, 2025
ISBN 10: 100928844X ISBN 13: 9781009288446
Condition: As New. Unread book in perfect condition.
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Scalable Monte Carlo for Bayesian Learning
Language: English
Published by Cambridge University Press, GB, 2025
ISBN 10: 100928844X ISBN 13: 9781009288446
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.
-
Scalable Monte Carlo for Bayesian Learning (Institute of Mathematical Statistics Monographs)
Language: English
Published by Cambridge University Press, 2025
ISBN 10: 100928844X ISBN 13: 9781009288446
Condition: New.
-
Scalable Monte Carlo for Bayesian Learning (Institute of Mathematical Statistics Monographs)
Language: English
Published by Cambridge University Press -, 2025
ISBN 10: 100928844X ISBN 13: 9781009288446
hardcover. Condition: New.
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Scalable Monte Carlo for Bayesian Learning (Institute of Mathematical Statistics Monographs)
Language: English
Published by Cambridge University Press, 2025
ISBN 10: 100928844X ISBN 13: 9781009288446
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 54.30
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Scalable Monte Carlo for Bayesian Learning
Language: English
Published by Cambridge University Press, GB, 2025
ISBN 10: 100928844X ISBN 13: 9781009288446
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
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.
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Scalable Monte Carlo for Bayesian Learning
Language: English
Published by Cambridge University Press, 2025
ISBN 10: 100928844X ISBN 13: 9781009288446
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Scalable Monte Carlo for Bayesian Learning
Language: English
Published by Cambridge University Press, 2025
ISBN 10: 100928844X ISBN 13: 9781009288446
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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Scalable Monte Carlo for Bayesian Learning
Language: English
Published by Cambridge University Press, 2025
ISBN 10: 100928844X ISBN 13: 9781009288446
Hardcover. Condition: Brand New. 247 pages. 6.00x0.63x9.00 inches. In Stock.
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International EditionHardcover. Condition: New. Brand New! Fast Delivery "International Edition " and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 4-6 Working days .and we do have flat rate for up to 2LB. Extra shipping charges will be requested This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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SCALABLE MONTE CARLO FOR BAYESIAN LEARN
Language: English
Published by Cambridge University Press, 2025
ISBN 10: 100928844X ISBN 13: 9781009288446
Condition: NEW.
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Scalable Monte Carlo for Bayesian Learning (Hardcover)
Language: English
Published by Cambridge University Press, Cambridge, 2025
ISBN 10: 100928844X ISBN 13: 9781009288446
Hardcover. Condition: new. Hardcover. 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. An intuitive introduction to advanced topics in Markov chain Monte Carlo (MCMC), presenting cutting-edge developments that address the crucial issue of scalability. It could form the basis for a graduate-level course and will be a valuable resource for researchers in the field. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
-
Scalable Monte Carlo for Bayesian Learning
Language: English
Published by Cambridge University Press, GB, 2025
ISBN 10: 100928844X ISBN 13: 9781009288446
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.
-
Scalable Monte Carlo for Bayesian Learning
Language: English
Published by Cambridge University Press, 2025
ISBN 10: 100928844X ISBN 13: 9781009288446
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering.
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Scalable Monte Carlo for Bayesian Learning
Language: English
Published by Cambridge University Press, GB, 2025
ISBN 10: 100928844X ISBN 13: 9781009288446
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.
-
Scalable Monte Carlo for Bayesian Learning (Hardcover)
Language: English
Published by Cambridge University Press, Cambridge, 2025
ISBN 10: 100928844X ISBN 13: 9781009288446
Hardcover. Condition: new. Hardcover. 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. An intuitive introduction to advanced topics in Markov chain Monte Carlo (MCMC), presenting cutting-edge developments that address the crucial issue of scalability. It could form the basis for a graduate-level course and will be a valuable resource for researchers in the field. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
-
Scalable Monte Carlo for Bayesian Learning
Language: English
Published by Cambridge University Press, 2025
ISBN 10: 100928844X ISBN 13: 9781009288446
Hardcover. Condition: Brand New. 247 pages. 6.00x0.63x9.00 inches. In Stock. This item is printed on demand.
-
Scalable Monte Carlo for Bayesian Learning (Hardcover)
Language: English
Published by Cambridge University Press, Cambridge, 2025
ISBN 10: 100928844X ISBN 13: 9781009288446
Hardcover. Condition: new. Hardcover. 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. An intuitive introduction to advanced topics in Markov chain Monte Carlo (MCMC), presenting cutting-edge developments that address the crucial issue of scalability. It could form the basis for a graduate-level course and will be a valuable resource for researchers in the field. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Scalable Monte Carlo for Bayesian Learning
Language: English
Published by Cambridge University Press, 2025
ISBN 10: 100928844X ISBN 13: 9781009288446
Buch. Condition: Neu. Scalable Monte Carlo for Bayesian Learning | Paul Fearnhead (u. a.) | Buch | Englisch | 2025 | Cambridge University Press | EAN 9781009288446 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
