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Mathematical Foundations of Infinite-Dimensional Statistical Models
Published by Cambridge University Press, 2021
ISBN 10: 110899413X ISBN 13: 9781108994132
Language: English
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Mathematical Foundations of Infinite-Dimensional Statistical Models (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 40)
Published by Cambridge University Press, 2021
ISBN 10: 110899413X ISBN 13: 9781108994132
Language: English
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Mathematical Foundations of Infinite-Dimensional Statistical Models (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 40)
Published by Cambridge University Press, 2021
ISBN 10: 110899413X ISBN 13: 9781108994132
Language: English
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Mathematical Foundations of Infinite-Dimensional Statistical Models (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 40)
Published by Cambridge University Press, 2021
ISBN 10: 110899413X ISBN 13: 9781108994132
Language: English
Condition: New.
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Mathematical Foundations of Infinite-Dimensional Statistical Models
Published by Cambridge University Press, 2021
ISBN 10: 110899413X ISBN 13: 9781108994132
Language: English
Condition: As New. Unread book in perfect condition.
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Mathematical Foundations of Infinite-Dimensional Statistical Models (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 40)
Published by Cambridge University Press, 2021
ISBN 10: 110899413X ISBN 13: 9781108994132
Language: English
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Mathematical Foundations of Infinite-Dimensional Statistical Models
Published by Cambridge University Press, 2021
ISBN 10: 110899413X ISBN 13: 9781108994132
Language: English
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Mathematical Foundations of Infinite-Dimensional Statistical Models (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 40)
Published by Cambridge University Press, 2021
ISBN 10: 110899413X ISBN 13: 9781108994132
Language: English
Condition: New. Revised edition NO-PA16APR2015-KAP.
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Mathematical Foundations of Infinite-Dimensional Statistical Models
Published by Cambridge University Press, 2021
ISBN 10: 110899413X ISBN 13: 9781108994132
Language: English
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Mathematical Foundations of Infinite-Dimensional Statistical Models
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ISBN 10: 1107043166 ISBN 13: 9781107043169
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Mathematical Foundations of Infinite-Dimensional Statistical Models (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 40)
Published by Cambridge University Press, 2015
ISBN 10: 1107043166 ISBN 13: 9781107043169
Language: English
Condition: New. SUPER FAST SHIPPING.
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Mathematical Foundations of Infinite-Dimensional Statistical Models (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 40)
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ISBN 10: 1107043166 ISBN 13: 9781107043169
Language: English
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Mathematical Foundations of Infinite-Dimensional Statistical Models (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 40)
Published by Cambridge University Press, 2021
ISBN 10: 110899413X ISBN 13: 9781108994132
Language: English
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Mathematical Foundations of Infinite-Dimensional Statistical Models
Published by Cambridge University Press CUP, 2015
ISBN 10: 1107043166 ISBN 13: 9781107043169
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Mathematical Foundations of Infinite-Dimensional Statistical Models (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 40)
Published by Cambridge University Press, 2015
ISBN 10: 1107043166 ISBN 13: 9781107043169
Language: English
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Mathematical Foundations of Infinite-Dimensional Statistical Models
Published by Cambridge University Press, 2015
ISBN 10: 1107043166 ISBN 13: 9781107043169
Language: English
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Mathematical Foundations of Infinite-Dimensional Statistical Models
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ISBN 10: 1107043166 ISBN 13: 9781107043169
Language: English
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Mathematical Foundations of Infinite-dimensional Statistical Models (Hardcover)
Published by Cambridge University Press, Cambridge, 2015
ISBN 10: 1107043166 ISBN 13: 9781107043169
Language: English
Hardcover. Condition: new. Hardcover. In nonparametric and high-dimensional statistical models, the classical Gauss-Fisher-Le Cam theory of the optimality of maximum likelihood estimators and Bayesian posterior inference does not apply, and new foundations and ideas have been developed in the past several decades. This book gives a coherent account of the statistical theory in infinite-dimensional parameter spaces. The mathematical foundations include self-contained 'mini-courses' on the theory of Gaussian and empirical processes, on approximation and wavelet theory, and on the basic theory of function spaces. The theory of statistical inference in such models - hypothesis testing, estimation and confidence sets - is then presented within the minimax paradigm of decision theory. This includes the basic theory of convolution kernel and projection estimation, but also Bayesian nonparametrics and nonparametric maximum likelihood estimation. In the final chapter, the theory of adaptive inference in nonparametric models is developed, including Lepski's method, wavelet thresholding, and adaptive inference for self-similar functions. High-dimensional and nonparametric statistical models are ubiquitous in modern data science. This book develops a mathematically coherent and objective approach to statistical inference in such models, with a focus on function estimation problems arising from random samples (density estimation) or from Gaussian regression/signal in white noise problems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Mathematical Foundations of Infinite-Dimensional Statistical Models (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 40)
Published by Cambridge University Press, 2015
ISBN 10: 1107043166 ISBN 13: 9781107043169
Language: English
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Mathematical Foundations of Infinite-Dimensional Statistical Models
Published by Cambridge University Press, 2015
ISBN 10: 1107043166 ISBN 13: 9781107043169
Language: English
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Mathematical Foundations of Infinite-Dimensional Statistical Models
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ISBN 10: 1107043166 ISBN 13: 9781107043169
Language: English
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Mathematical Foundations of Infinite-Dimensional Statistical Models
Published by Cambridge University Press, 2015
ISBN 10: 1107043166 ISBN 13: 9781107043169
Language: English
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Mathematical Foundations of Infinite-Dimensional Statistical Models
Published by Cambridge University Press, 2021
ISBN 10: 110899413X ISBN 13: 9781108994132
Language: English
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Now in paperback: the new classic on the theory of statistical inference in statistical models with an infinite-dimensional parameter space.
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Mathematical Foundations of Infinite-dimensional Statistical Models (Hardcover)
Published by Cambridge University Press, Cambridge, 2015
ISBN 10: 1107043166 ISBN 13: 9781107043169
Language: English
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Add to basketHardcover. Condition: new. Hardcover. In nonparametric and high-dimensional statistical models, the classical Gauss-Fisher-Le Cam theory of the optimality of maximum likelihood estimators and Bayesian posterior inference does not apply, and new foundations and ideas have been developed in the past several decades. This book gives a coherent account of the statistical theory in infinite-dimensional parameter spaces. The mathematical foundations include self-contained 'mini-courses' on the theory of Gaussian and empirical processes, on approximation and wavelet theory, and on the basic theory of function spaces. The theory of statistical inference in such models - hypothesis testing, estimation and confidence sets - is then presented within the minimax paradigm of decision theory. This includes the basic theory of convolution kernel and projection estimation, but also Bayesian nonparametrics and nonparametric maximum likelihood estimation. In the final chapter, the theory of adaptive inference in nonparametric models is developed, including Lepski's method, wavelet thresholding, and adaptive inference for self-similar functions. High-dimensional and nonparametric statistical models are ubiquitous in modern data science. This book develops a mathematically coherent and objective approach to statistical inference in such models, with a focus on function estimation problems arising from random samples (density estimation) or from Gaussian regression/signal in white noise problems. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Mathematical Foundations of Infinite-dimensional Statistical Models (Hardcover)
Published by Cambridge University Press, Cambridge, 2015
ISBN 10: 1107043166 ISBN 13: 9781107043169
Language: English
US$ 186.74
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Add to basketHardcover. Condition: new. Hardcover. In nonparametric and high-dimensional statistical models, the classical Gauss-Fisher-Le Cam theory of the optimality of maximum likelihood estimators and Bayesian posterior inference does not apply, and new foundations and ideas have been developed in the past several decades. This book gives a coherent account of the statistical theory in infinite-dimensional parameter spaces. The mathematical foundations include self-contained 'mini-courses' on the theory of Gaussian and empirical processes, on approximation and wavelet theory, and on the basic theory of function spaces. The theory of statistical inference in such models - hypothesis testing, estimation and confidence sets - is then presented within the minimax paradigm of decision theory. This includes the basic theory of convolution kernel and projection estimation, but also Bayesian nonparametrics and nonparametric maximum likelihood estimation. In the final chapter, the theory of adaptive inference in nonparametric models is developed, including Lepski's method, wavelet thresholding, and adaptive inference for self-similar functions. High-dimensional and nonparametric statistical models are ubiquitous in modern data science. This book develops a mathematically coherent and objective approach to statistical inference in such models, with a focus on function estimation problems arising from random samples (density estimation) or from Gaussian regression/signal in white noise problems. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Add to basketHardcover. Condition: Brand New. 1st edition. 720 pages. 10.37x7.04x1.71 inches. In Stock.
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Mathematical Foundations of Infinite-Dimensional Statistical Models
Published by Cambridge University Press, 2015
ISBN 10: 1107043166 ISBN 13: 9781107043169
Language: English
US$ 197.33
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - In nonparametric and high-dimensional statistical models, the classical Gauss-Fisher-Le Cam theory of the optimality of maximum likelihood estimators and Bayesian posterior inference does not apply, and new foundations and ideas have been developed in the past several decades. This book gives a coherent account of the statistical theory in infinite-dimensional parameter spaces. The mathematical foundations include self-contained 'mini-courses' on the theory of Gaussian and empirical processes, on approximation and wavelet theory, and on the basic theory of function spaces. The theory of statistical inference in such models - hypothesis testing, estimation and confidence sets - is then presented within the minimax paradigm of decision theory. This includes the basic theory of convolution kernel and projection estimation, but also Bayesian nonparametrics and nonparametric maximum likelihood estimation. In the final chapter, the theory of adaptive inference in nonparametric models is developed, including Lepski's method, wavelet thresholding, and adaptive inference for self-similar functions.
-
Mathematical Foundations of Infinite-Dimensional Statistical Models (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 40)
Published by Cambridge University Press, 2021
ISBN 10: 110899413X ISBN 13: 9781108994132
Language: English
US$ 86.15
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Mathematical Foundations of Infinite-Dimensional Statistical Models (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 40)
Published by Cambridge University Press, 2021
ISBN 10: 110899413X ISBN 13: 9781108994132
Language: English
US$ 68.51
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Add to basketPaperback. Condition: Brand New. revised edition. 690 pages. 9.75x6.75x1.35 inches. In Stock. This item is printed on demand.
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Mathematical Foundations of Infinite-Dimensional Statistical Models (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 40)
Published by Cambridge University Press, 2021
ISBN 10: 110899413X ISBN 13: 9781108994132
Language: English
US$ 97.72
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