Analytical Methods in Statistics

AMISTAT, Liberec, Czech Republic, September 2019 de

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Éditeur :

Springer


Collection :

Springer Proceedings in Mathematics & Statistics

Paru le : 2020-07-19

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Description


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.


Pages
156 pages
Collection
Springer Proceedings in Mathematics & Statistics
Parution
2020-07-19
Marque
Springer
EAN papier
9783030488130
EAN PDF
9783030488147

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
15
Taille du fichier
2499 Ko
Prix
94,94 €
EAN EPUB
9783030488147

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
15
Taille du fichier
11131 Ko
Prix
94,94 €