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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Vydané v:	IEEE transactions on information theory Ročník 69; číslo 2; s. 1
Hlavní autori:	Ray, Souvik, Pal, Subrata, Kar, Sumit Kumar, Basu, Ayanendranath
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.02.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
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