Mathematical Foundations of Infinite-Dimensional Statistical Models (Cambridge Series in Statistical and Probabilistic Mathematics, 39, Band 39) - Hardcover

Buch 29�von 46: Cambridge Series in Statistical and Probabilistic Mathematics

Evarist Gin� , Richard Nickl

9781107043169: Mathematical Foundations of Infinite-Dimensional Statistical Models (Cambridge Series in Statistical and Probabilistic Mathematics, 39, Band 39)

Hardcover

ISBN 10: 1107043166 ISBN 13: 9781107043169

Verlag: Cambridge University Press, 2016

Alle Exemplare dieser ISBN-Ausgabe

0 Gebraucht

16 Neu

Von EUR 131,16

This book develops the theory of statistical inference in statistical models with an infinite-dimensional parameter space, including mathematical foundations and key decision-theoretic principles.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

�ber die Autorin bzw. den Autor

Evarist Gin� (1944-2015) was Head of the Department of Mathematics at the University of Connecticut. Gin� was a distinguished mathematician who worked on mathematical statistics and probability in infinite dimensions. He was the author of two books and more than 100 articles.

��ber diesen Titel� kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag: Cambridge University Press
Erscheinungsdatum: 2016
Sprache: Englisch
ISBN 10: 1107043166
ISBN 13: 9781107043169
Einband: Gebundene Ausgabe
Auflage: 1
Anzahl der Seiten: 720
Kontakt zum Hersteller: Nicht verf�gbar
Verantwortliche Person: gpsr@libri.de
gpsr@libri.de

Friedensallee 273
Hamburg
22763
Deutschland

Weitere beliebte Ausgaben desselben Titels

9781108994132: Mathematical Foundations of Infinite-Dimensional Statistical Models (Cambridge Series in Statistical and Probabilistic Mathematics, Band 40)

Vorgestellte Ausgabe

ISBN 10: 110899413X ISBN 13: 9781108994132
Verlag: Cambridge University Press, 2021
Softcover

Suchergebnisse f�r Mathematical Foundations of Infinite-Dimensional Statistical...

Beispielbild f�r diese ISBN

Mathematical Foundations of Infinite-Dimensional Statistical Models (Hardcover)

Richard Nickl

Verlag: Cambridge University Press, Cambridge, 2015

ISBN 10: 1107043166 ISBN 13: 9781107043169

Neu Hardcover

Print-on-Demand

Anbieter: Grand Eagle Retail, Bensenville, IL, USA

Verk�uferbewertung 5 von 5 Sternen

Hardcover. Zustand: 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verk�ufers 9781107043169

Verk�ufer kontaktieren

Neu kaufen

EUR 131,16

Versand gratis
Versand innerhalb von USA

Anzahl: 1 verf�gbar

In den Warenkorb

Beispielbild f�r diese ISBN

Mathematical Foundations of Infinite-Dimensional Statistical Models (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 40)

Gin�, Evarist; Nickl, Richard

Verlag: Cambridge University Press, 2015

ISBN 10: 1107043166 ISBN 13: 9781107043169

Neu Hardcover

Anbieter: California Books, Miami, FL, USA

Verk�uferbewertung 4 von 5 Sternen

Zustand: New. Bestandsnummer des Verk�ufers I-9781107043169

Verk�ufer kontaktieren

Neu kaufen

EUR 131,17

Versand gratis
Versand innerhalb von USA

Anzahl: Mehr als 20 verf�gbar

In den Warenkorb

Beispielbild f�r diese ISBN

Mathematical Foundations of Infinite-Dimensional Statistical Models (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 40)

Gin�, Evarist; Nickl, Richard

Verlag: Cambridge University Press, 2015

ISBN 10: 1107043166 ISBN 13: 9781107043169

Neu Hardcover

Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes K�nigreich

Verk�uferbewertung 5 von 5 Sternen

Zustand: New. In. Bestandsnummer des Verk�ufers ria9781107043169_new

Verk�ufer kontaktieren

Neu kaufen

EUR 120,41

EUR 13,87 Versand
Versand von Vereinigtes K�nigreich nach USA

Anzahl: Mehr als 20 verf�gbar

In den Warenkorb

Beispielbild f�r diese ISBN

Mathematical Foundations of Infinite-dimensional Statistical Models

Gin�, Evarist/ Nickl, Richard

Verlag: Cambridge Univ Pr, 2016

ISBN 10: 1107043166 ISBN 13: 9781107043169

Neu Hardcover

Print-on-Demand

Anbieter: Revaluation Books, Exeter, Vereinigtes K�nigreich

Verk�uferbewertung 5 von 5 Sternen

Hardcover. Zustand: Brand New. 1st edition. 720 pages. 10.37x7.04x1.71 inches. In Stock. This item is printed on demand. Bestandsnummer des Verk�ufers __1107043166

Verk�ufer kontaktieren

Neu kaufen

EUR 132,62

EUR 17,36 Versand
Versand von Vereinigtes K�nigreich nach USA

Anzahl: 1 verf�gbar

In den Warenkorb

Foto des Verk�ufers

Mathematical Foundations of Infinite-Dimensional Statistical Models

Evarist Gin�, Richard Nickl

Verlag: Cambridge University Press, GB, 2015

ISBN 10: 1107043166 ISBN 13: 9781107043169

Neu Hardcover

Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes K�nigreich

Verk�uferbewertung 5 von 5 Sternen

Hardback. Zustand: New. 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. Bestandsnummer des Verk�ufers LU-9781107043169

Verk�ufer kontaktieren

Neu kaufen

EUR 172,44

Versand gratis
Versand von Vereinigtes K�nigreich nach USA

Anzahl: Mehr als 20 verf�gbar

In den Warenkorb

Foto des Verk�ufers

Mathematical Foundations of Infinite-Dimensional Statistical Models

Gin�, Evarist|Nickl, Richard

Verlag: Cambridge University Press, 2017

ISBN 10: 1107043166 ISBN 13: 9781107043169

Neu Hardcover

Print-on-Demand

Anbieter: moluna, Greven, Deutschland

Verk�uferbewertung 5 von 5 Sternen

Gebunden. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 fr. Bestandsnummer des Verk�ufers 31552177

Verk�ufer kontaktieren

Neu kaufen

EUR 127,29

EUR 48,99 Versand
Versand von Deutschland nach USA

Anzahl: Mehr als 20 verf�gbar

In den Warenkorb

Beispielbild f�r diese ISBN

Mathematical Foundations of Infinite-Dimensional Statistical Models (Hardcover)

Richard Nickl

Verlag: Cambridge University Press, Cambridge, 2015

ISBN 10: 1107043166 ISBN 13: 9781107043169

Neu Hardcover

Print-on-Demand

Anbieter: CitiRetail, Stevenage, Vereinigtes K�nigreich

Verk�uferbewertung 5 von 5 Sternen

Hardcover. Zustand: 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verk�ufers 9781107043169

Verk�ufer kontaktieren