Logspline density estimation for binned data

DOI10.1016/S0167-7152(99)00097-8zbMath0974.62033OpenAlexW2141384805MaRDI QIDQ1971379

Charles Kooperberg, Ja-Yong Koo

Publication date: 16 December 2001

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0167-7152(99)00097-8

zbMATH Keywords

Besov spaceoptimal rate of convergencebinningMILEknot deletionmaximum incomplete likelihood estimators

Mathematics Subject Classification ID

Related Items (7)

Penalized logspline density estimation using total variation penalty ⋮ A faster algorithm to estimate multiresolution densities ⋮ Smooth semiparametric and nonparametric Bayesian estimation of bivariate densities from bivariate histogram data ⋮ Local-moment nonparametric density estimation of pre-binned data ⋮ Density estimation for data with rounding errors ⋮ Scale-, time- and asset-dependence of Hawkes process estimates on high frequency price changes ⋮ A flexible family of density functions

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