Maximum Penalized Likelihood Estimation
Volume I: Density Estimation
Springer New York
ISBN 978-1-07-161244-6
Standardpreis
Bibliografische Daten
eBook. PDF
2020
XVIII, 512 p..
In englischer Sprache
Umfang: 512 S.
Verlag: Springer New York
ISBN: 978-1-07-161244-6
Weiterführende bibliografische Daten
Das Werk ist Teil der Reihe: Springer Series in Statistics
Produktbeschreibung
This book deals with parametric and nonparametric density estimation from the maximum (penalized) likelihood point of view, including estimation under constraints. The focal points are existence and uniqueness of the estimators, almost sure convergence rates for the L1 error, and data-driven smoothing parameter selection methods, including their practical performance. The reader will gain insight into technical tools from probability theory and applied mathematics.
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