Editors:
Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 425)
Conference series link(s): FMS: Foundations of Modern Statistics
Conference proceedings info: FMS 2019.
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Table of contents (16 papers)
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Front Matter
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Optimal Rates and Non-asymptotic Bounds in Nonparametrics
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Front Matter
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Estimation of Matrices and Subspaces
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Front Matter
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Statistical Theory Motivated by Applications
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Front Matter
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Optimization
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Front Matter
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About this book
This book contains contributions from the participants of the international conference “Foundations of Modern Statistics” which took place at Weierstrass Institute for Applied Analysis and Stochastics (WIAS), Berlin, during November 6–8, 2019, and at Higher School of Economics (HSE University), Moscow, during November 30, 2019. The events were organized in honor of Professor Vladimir Spokoiny on the occasion of his 60th birthday. Vladimir Spokoiny has pioneered the field of adaptive statistical inference and contributed to a variety of its applications. His more than 30 years of research in the field of mathematical statistics had a great influence on the development of the mathematical theory of statistics to its present state. It has inspired many young researchers to start their research in this exciting field of mathematics.
The papers contained in this book reflect the broad field of interests of Vladimir Spokoiny: optimal rates and non-asymptotic bounds in nonparametrics, Bayes approaches from a frequentist point of view, optimization, signal processing, and statistical theory motivated by models in applied fields. Materials prepared by famous scientists contain original scientific results, which makes the publication valuable for researchers working in these fields. The book concludes by a conversation of Vladimir Spokoiny with Markus Reiβ and Enno Mammen. This interview gives some background on the life of Vladimir Spokoiny and his many scientific interests and motivations.
Editors and Affiliations
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Faculty of Mathematics, University of Duisburg-Essen, Essen, Germany
Denis Belomestny
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Institut Polytechnique de Paris, CREST, ENSAE, Palaiseau, France
Cristina Butucea
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Institute for Applied Mathematics, Heidelberg University, Heidelberg, Germany
Enno Mammen
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CMAP, Ecole Polytechnique, Palaiseau, France
Eric Moulines
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Institute of Mathematics, Humboldt-Universität zu Berlin, Berlin, Germany
Markus Reiß
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Faculty of Computer Science, HSE University and Moscow State University, Moscow, Russia
Vladimir V. Ulyanov
Bibliographic Information
Book Title: Foundations of Modern Statistics
Book Subtitle: Festschrift in Honor of Vladimir Spokoiny, Berlin, Germany, November 6–8, 2019, Moscow, Russia, November 30, 2019
Editors: Denis Belomestny, Cristina Butucea, Enno Mammen, Eric Moulines, Markus Reiß, Vladimir V. Ulyanov
Series Title: Springer Proceedings in Mathematics & Statistics
DOI: https://doi.org/10.1007/978-3-031-30114-8
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-30113-1Published: 18 July 2023
Softcover ISBN: 978-3-031-30116-2Due: 18 August 2023
eBook ISBN: 978-3-031-30114-8Published: 16 July 2023
Series ISSN: 2194-1009
Series E-ISSN: 2194-1017
Edition Number: 1
Number of Pages: X, 605
Number of Illustrations: 4 b/w illustrations, 30 illustrations in colour
Topics: Statistical Theory and Methods, Probability Theory and Stochastic Processes