Analytical Methods in Statistics - AMISTAT, Liberec, Czech Republic, September 2019 (Paperback, 1st ed. 2020)

This book collects peer-reviewed contributions on modern statistical methods and topics, stemming from the third workshop on Analytical Methods in Statistics, AMISTAT 2019, held in Liberec, Czech Republic, on September 16-19, 2019. Real-life problems demand statistical solutions, which in turn require new and profound mathematical methods. As such, the book is not only a collection of solved problems but also a source of new methods and their practical extensions. The authoritative contributions focus on analytical methods in statistics, asymptotics, estimation and Fisher information, robustness, stochastic models and inequalities, and other related fields; further, they address e.g. average autoregression quantiles, neural networks, weighted empirical minimum distance estimators, implied volatility surface estimation, the Grenander estimator, non-Gaussian component analysis, meta learning, and high-dimensional errors-in-variables models.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Springer Proceedings in Mathematics & Statistics, 329
Release date:	July 2021
First published:	2020
Editors:	Matus Maciak • Michal Pesta • Martin Schindler
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	156
Edition:	1st ed. 2020
ISBN-13:	978-3-03-048816-1
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Applied mathematics > General Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software Promotions
LSN:	3-03-048816-0
Barcode:	9783030488161

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