Interval-censored unimodal kernel density estimation via data sharpening

DOI10.1080/00949655.2017.1308510OpenAlexW2604829985MaRDI QIDQ5106909

W. John Braun, Devan G. Becker, Bethany J. G. White

Publication date: 22 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2017.1308510

zbMATH Keywords

nonparametric estimationshape constraintsmean-shift algorithm

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (2)

Efficient nonparametric estimation of distribution for current status censoring ⋮ Sharp minimax distribution estimation for current status censoring with or without missing

Uses Software

• KernSmooth
• ICE
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Cites Work

• Exact mean integrated squared error
• Local likelihood density estimation for interval censored data
• A pseudolikelihood method for analyzing interval censored data
• Miscellanea. Data sharpening as a prelude to density estimation
• On Estimation of a Probability Density Function and Mode
• Unnamed Item
• Unnamed Item
• Unnamed Item

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