Fearnhead Paul (21 results)
Scalable Monte Carlo for Bayesian Learning (Institute of Mathematical Statistics Monographs)
Paul Fearnhead , Christopher Nemeth , Chris J. Oates , Chris Sherlock
- Softcover
Seller: WorldofBooks, Goring-By-Sea, WS, United KingdomWorldofBooks
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US$ 62.63
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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.
Scalable Monte Carlo for Bayesian Learning
Fearnhead, Paul; Nemeth, Christopher; Oates, Chris J.; Sherlock, Chris
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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US$ 72.87
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Condition: New.
- Hardcover
Seller: Basi6 International, Irving, TX, U.S.A.Basi6 International
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US$ 75.79
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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Scalable Monte Carlo for Bayesian Learning (Institute of Mathematical Statistics Monographs)
Fearnhead, Paul; Nemeth, Christopher; Oates, Chris J.; Sherlock, Chris
- Hardcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
Contact seller4-star sellerCondition: New
US$ 75.95
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Condition: New.
Scalable Monte Carlo for Bayesian Learning
Fearnhead, Paul; Nemeth, Christopher; Oates, Chris J.; Sherlock, Chris
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contact seller5-star sellerCondition: Used - As new
US$ 79.00
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Condition: As New. Unread book in perfect condition.
Scalable Monte Carlo for Bayesian Learning (Institute of Mathematical Statistics Monographs)
Fearnhead, Paul; Nemeth, Christopher; Oates, Chris J.; Sherlock, Chris
- Hardcover
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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US$ 73.79
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Condition: New.
More imagesScalable Monte Carlo for Bayesian Learning
Paul Fearnhead, Christopher Nemeth, Chris J. Oates, Chris Sherlock
- Hardcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
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US$ 82.68
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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 technique…s 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)
Fearnhead, Paul; Nemeth, Christopher; Oates, Chris J.; Sherlock, Chris
- Hardcover
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
Contact seller4-star sellerCondition: New
US$ 80.01
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Condition: New.
Scalable Monte Carlo for Bayesian Learning (Institute of Mathematical Statistics Monographs)
Fearnhead, Paul Paul Fearnhead, Christopher Nemeth, Chris J. Oates, Chris Sherlock,
- Hardcover
Seller: Chiron Media, Wallingford, United KingdomChiron Media
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US$ 70.95
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hardcover. Condition: New.
Scalable Monte Carlo for Bayesian Learning (Institute of Mathematical Statistics Monographs)
Fearnhead, Paul; Nemeth, Christopher; Oates, Chris J.; Sherlock, Chris
- Hardcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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US$ 77.15
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Condition: New. In.
Scalable Monte Carlo for Bayesian Learning
Fearnhead, Paul; Nemeth, Christopher; Oates, Chris J.; Sherlock, Chris
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: New
US$ 74.37
US$ 20.09 shippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
Condition: New.
Scalable Monte Carlo for Bayesian Learning
Fearnhead, Paul; Nemeth, Christopher; Oates, Chris J.; Sherlock, Chris
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: Used - As new
US$ 84.81
US$ 20.09 shippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
Condition: As New. Unread book in perfect condition.
Scalable Monte Carlo for Bayesian Learning
Paul Fearnhead , Christopher Nemeth , Chris J. Oates , Chris Sherlock
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
Contact seller5-star sellerCondition: New
US$ 102.53
US$ 16.74 shippingShips from United Kingdom to U.S.A.Quantity: 2 available
Hardcover. Condition: Brand New. 247 pages. 6.00x0.63x9.00 inches. In Stock.
Scalable Monte Carlo for Bayesian Learning
Paul Fearnhead , Christopher Nemeth , Chris J. Oates , Chris Sherlock
- Hardcover
- International Edition
Seller: UK BOOKS STORE, London, LONDO, United KingdomUK BOOKS STORE
Contact seller5-star sellerInternational EditionCondition: New
US$ 121.40
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Hardcover. Condition: New. Brand New! Fast Delivery This is an 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 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requ…ested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
Contact seller5-star sellerCondition: New
US$ 84.23
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering.
More imagesScalable Monte Carlo for Bayesian Learning
Paul Fearnhead, Christopher Nemeth, Chris J. Oates, Chris Sherlock
- Hardcover
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
Contact seller5-star sellerCondition: New
US$ 79.40
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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 technique…s 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.
- Hardcover
- Print on Demand
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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US$ 75.52
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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 n…ew 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
Paul Fearnhead , Christopher Nemeth , Chris J. Oates , Chris Sherlock
- Hardcover
- Print on Demand
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
Contact seller5-star sellerCondition: New
US$ 71.13
US$ 16.74 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Hardcover. Condition: Brand New. 247 pages. 6.00x0.63x9.00 inches. In Stock. This item is printed on demand.
- Hardcover
- Print on Demand
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
Contact seller5-star sellerCondition: New
US$ 84.14
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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 n…ew 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 UK warehouse or from our Australian or US warehouses, depending on stock availability.
- Hardcover
- Print on Demand
Seller: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contact seller5-star sellerCondition: New
US$ 120.13
US$ 37.00 shippingShips from Australia to U.S.A.Quantity: 1 available
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 n…ew 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.
- Hardcover
- Print on Demand
Seller: preigu, Osnabrück, Germanypreigu
Contact seller5-star sellerCondition: New
US$ 85.71
US$ 79.95 shippingShips from Germany to U.S.A.Quantity: 5 available
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.
