Characterizing the Functional Density Power Divergence Class

Divergence measures have a long association with statistical inference, machine learning and information theory. The density power divergence and related measures have produced many useful (and popular) statistical procedures, which provide a good balance between model efficiency on one hand and out...

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Veröffentlicht in:	IEEE transactions on information theory Jg. 69; H. 2; S. 1
Hauptverfasser:	Ray, Souvik, Pal, Subrata, Kar, Sumit Kumar, Basu, Ayanendranath
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.02.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Density Density measurement Density power divergence efficiency Information theory Limiting logarithmic density power divergence Logarithms Machine learning Outliers (statistics) Power measurement robust statistical inference Robustness Statistical inference Transforms
ISSN:	0018-9448, 1557-9654
Online-Zugang:	Volltext
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