Language: English
Published by Cambridge University Press, 2021
ISBN 10: 1108482953 ISBN 13: 9781108482950
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Language: English
Published by Cambridge University Press, 2021
ISBN 10: 1108482953 ISBN 13: 9781108482950
Seller: California Books, Miami, FL, U.S.A.
Condition: New.
Language: English
Published by Cambridge University Press, 2021
ISBN 10: 1108482953 ISBN 13: 9781108482950
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Language: English
Published by Cambridge University Press, GB, 2021
ISBN 10: 1108482953 ISBN 13: 9781108482950
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Hardback. Condition: New. This is a practical guide to P-splines, a simple, flexible and powerful tool for smoothing. P-splines combine regression on B-splines with simple, discrete, roughness penalties. They were introduced by the authors in 1996 and have been used in many diverse applications. The regression basis makes it straightforward to handle non-normal data, like in generalized linear models. The authors demonstrate optimal smoothing, using mixed model technology and Bayesian estimation, in addition to classical tools like cross-validation and AIC, covering theory and applications with code in R. Going far beyond simple smoothing, they also show how to use P-splines for regression on signals, varying-coefficient models, quantile and expectile smoothing, and composite links for grouped data. Penalties are the crucial elements of P-splines; with proper modifications they can handle periodic and circular data as well as shape constraints. Combining penalties with tensor products of B-splines extends these attractive properties to multiple dimensions. An appendix offers a systematic comparison to other smoothers.
Language: English
Published by Cambridge University Press 2021-03-18, 2021
ISBN 10: 1108482953 ISBN 13: 9781108482950
Seller: Chiron Media, Wallingford, United Kingdom
Hardcover. Condition: New.
Language: English
Published by Cambridge University Press, 2021
ISBN 10: 1108482953 ISBN 13: 9781108482950
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 63.10
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Language: English
Published by Cambridge University Press, 2021
ISBN 10: 1108482953 ISBN 13: 9781108482950
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
Language: English
Published by Cambridge University Press, 2021
ISBN 10: 1108482953 ISBN 13: 9781108482950
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition.
Language: English
Published by Cambridge University Press CUP, 2021
ISBN 10: 1108482953 ISBN 13: 9781108482950
Seller: Books Puddle, New York, NY, U.S.A.
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Language: English
Published by Cambridge University Press, 2021
ISBN 10: 1108482953 ISBN 13: 9781108482950
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 199 pages. 9.00x6.00x0.50 inches. In Stock.
Condition: New. P-splines are widely used in statistics and machine learning for smoothing out noise in data and to avoid overtraining. This practical guide covers theory and a range of standard and non-standard applications with code in R for professionals and researchers.
Language: English
Published by Cambridge University Press, GB, 2021
ISBN 10: 1108482953 ISBN 13: 9781108482950
Seller: Rarewaves.com UK, London, United Kingdom
Hardback. Condition: New. This is a practical guide to P-splines, a simple, flexible and powerful tool for smoothing. P-splines combine regression on B-splines with simple, discrete, roughness penalties. They were introduced by the authors in 1996 and have been used in many diverse applications. The regression basis makes it straightforward to handle non-normal data, like in generalized linear models. The authors demonstrate optimal smoothing, using mixed model technology and Bayesian estimation, in addition to classical tools like cross-validation and AIC, covering theory and applications with code in R. Going far beyond simple smoothing, they also show how to use P-splines for regression on signals, varying-coefficient models, quantile and expectile smoothing, and composite links for grouped data. Penalties are the crucial elements of P-splines; with proper modifications they can handle periodic and circular data as well as shape constraints. Combining penalties with tensor products of B-splines extends these attractive properties to multiple dimensions. An appendix offers a systematic comparison to other smoothers.
Language: English
Published by Cambridge University Press, 2021
ISBN 10: 1108482953 ISBN 13: 9781108482950
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 199 pages. 9.00x6.00x0.50 inches. In Stock. This item is printed on demand.
Language: English
Published by Cambridge University Press, 2021
ISBN 10: 1108482953 ISBN 13: 9781108482950
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. Print on Demand.
Language: English
Published by Cambridge University Press, 2021
ISBN 10: 1108482953 ISBN 13: 9781108482950
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. PRINT ON DEMAND.