An optimal variable cell histogram

DOI10.1080/03610928808829688zbMath0641.62029OpenAlexW2015653505MaRDI QIDQ3782606

Yuichiro Kanazawa

Publication date: 1988

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610928808829688

zbMATH Keywords

histogramalgorithmHellinger distancedensity estimationsample spacingscutpointsPerformance for finite sample sizesvariable cell sizes

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Probabilistic methods, stochastic differential equations (65C99)

Related Items (6)

Bin width selection in multivariate histograms by the combinatorial method ⋮ Fast and fully-automated histograms for large-scale data sets ⋮ Combining regular and irregular histograms by penalized likelihood ⋮ Hellinger distance and Akaike's information criterion for the histogram ⋮ A comparison of automatic histogram constructions ⋮ Hellinger distance and Kullback-Leibler loss for the kernel density estimator

Cites Work

• Asymptotically optimal cells for a histogram
• On the histogram as a density estimator:L 2 theory

This page was built for publication: An optimal variable cell histogram