Analytical Methods in Statistics

AMISTAT, Liberec, Czech Republic, September 2019

156 Seiten, Hardcover

Kurzbeschreibung des Verlags

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.

• Reihe: Springer Proceedings in Mathematics & Statistics
• ISBN: 9783030488130
• Sprache: Englisch
• Erscheinungsdatum: 20.07.2020
• Genre: Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik
• Verlag: Springer International Publishing
• Herausgegeben von: Matúš Maciak, Michal Pešta, Martin Schindler