Mathematical Foundations of Infinite-Dimensional Statistical Models

Language: English

Published by Cambridge University Press, GB, 2021

110899413X / 9781108994132

Series: Book 44 of 64 - Cambridge Series in Statistical and Probabilistic Mathematics

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Seller: Rarewaves USA United, HEBRON, KY, U.S.A.Rarewaves USA United

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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, approximation and wavelet theory, and the basic theory of function spaces. The theory of statistical inference in such models - hypothesis testing, estimation and confidence sets - is 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 a 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. Winner of the 2017 PROSE Award for Mathematics. …

Seller Inventory # LU-9781108994132

Title
Mathematical Foundations of Infinite-Dimensional Statistical Models
Author
Richard Nickl, Evarist Giné
Publisher
Cambridge University Press, GB
Publication year
2021
Condition
New
Binding
Paperback
Language
English
ISBN 10
110899413X
ISBN 13
9781108994132
Item weight
1,270 grams
Dimensions
17.78 x 4.04 x 25.4 cm
Series
Book 44 of 64: Cambridge Series in Statistical and Probabilistic Mathematics

Rarewaves USA United

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