Data-driven bandwidth selection for recursive kernel density estimators under double truncation

DOI10.1007/s13571-018-0165-2zbMath1409.62087OpenAlexW2883553330WikidataQ57519930 ScholiaQ57519930MaRDI QIDQ1711618

Yousri Slaoui

Publication date: 18 January 2019

Published in: Sankhyā. Series B (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13571-018-0165-2

zbMATH Keywords

smoothingcurve fittingdensity estimationstochastic approximation algorithmdouble truncated dataluminosity of quasars

Mathematics Subject Classification ID

Density estimation (62G07) Censored data models (62N01) Stochastic approximation (62L20) Applications of statistics to physics (62P35) Statistical astronomy (85A35)

Related Items

The stochastic approximation method for recursive kernel estimation of the conditional extreme value index

Uses Software

• DTDA

Cites Work

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