Fearnhead paul (18 resultados)
Scalable Monte Carlo for Bayesian Learning (Institute of Mathematical Statistics Monographs)
Paul Fearnhead , Christopher Nemeth , Chris J. Oates , Chris Sherlock
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Librería: WorldofBooks, Goring-By-Sea, WS, Reino UnidoWorldofBooks
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EUR 54,68
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Paperback. Condición: 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
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 63,66
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Scalable Monte Carlo for Bayesian Learning (Institute of Mathematical Statistics Monographs)
Fearnhead, Paul; Nemeth, Christopher; Oates, Chris J.; Sherlock, Chris
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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EUR 66,17
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Condición: New.
Scalable Monte Carlo for Bayesian Learning
Fearnhead, Paul; Nemeth, Christopher; Oates, Chris J.; Sherlock, Chris
- Tapa dura
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 69,94
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Condición: 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
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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EUR 69,54
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Condición: New.
Scalable Monte Carlo for Bayesian Learning (Institute of Mathematical Statistics Monographs)
Fearnhead, Paul; Nemeth, Christopher; Oates, Chris J.; Sherlock, Chris
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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EUR 67,86
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Scalable Monte Carlo for Bayesian Learning (Institute of Mathematical Statistics Monographs)
Fearnhead, Paul; Nemeth, Christopher; Oates, Chris J.; Sherlock, Chris
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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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EUR 67,33
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Condición: New. In.
Scalable Monte Carlo for Bayesian Learning (Institute of Mathematical Statistics Monographs)
Fearnhead, Paul; Nemeth, Christopher; Oates, Chris J.; Sherlock, Chris
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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EUR 70,05
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Condición: New.
Scalable Monte Carlo for Bayesian Learning
Fearnhead, Paul; Nemeth, Christopher; Oates, Chris J.; Sherlock, Chris
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 67,32
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Condición: New.
Scalable Monte Carlo for Bayesian Learning (Institute of Mathematical Statistics Monographs)
Paul Fearnhead , Christopher Nemeth , Chris J. Oates , Chris Sherlock
- Tapa dura
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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EUR 77,22
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Condición: New. 2025. hardcover. . . . . .
Scalable Monte Carlo for Bayesian Learning
Fearnhead, Paul; Nemeth, Christopher; Oates, Chris J.; Sherlock, Chris
- Tapa dura
Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 73,97
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Condición: As New. Unread book in perfect condition.
Scalable Monte Carlo for Bayesian Learning
Paul Fearnhead , Christopher Nemeth , Chris J. Oates , Chris Sherlock
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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EUR 87,76
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Hardcover. Condición: Brand New. 247 pages. 6.00x0.63x9.00 inches. In Stock.
Scalable Monte Carlo for Bayesian Learning (Institute of Mathematical Statistics Monographs)
Paul Fearnhead , Christopher Nemeth , Chris J. Oates , Chris Sherlock
- Tapa dura
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de AmericaKennys Bookstore
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EUR 95,68
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Condición: New. 2025. hardcover. . . . . . Books ship from the US and Ireland.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 87,00
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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-reversi…ble 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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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 66,00
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Hardcover. Condición: 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.
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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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EUR 73,43
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Hardcover. Condición: 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.
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Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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EUR 106,29
Envío por EUR 31,69Se envía de Australia a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Hardcover. Condición: 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.
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Librería: preigu, Osnabrück, Alemaniapreigu
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EUR 72,85
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Buch. Condición: 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.
