Logspline Density Estimation under Censoring and Truncation

DOI10.1111/1467-9469.00139zbMath0924.65151OpenAlexW2112188837MaRDI QIDQ4255158

Ja-Yong Koo, Charles Kooperberg, Jin-Ho Park

Publication date: 10 August 1999

Published in: Scandinavian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/1467-9469.00139

zbMATH Keywords

convergenceBesov spacenumerical examplesB-splinescensored datatruncated datalogspline density estimation

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Point estimation (62F10) Probabilistic methods, stochastic differential equations (65C99)

Related Items (6)

Penalized logspline density estimation using total variation penalty ⋮ Spline local basis methods for nonparametric density estimation ⋮ Logspline density estimation for binned data ⋮ Adaptive density estimation: A curse of support? ⋮ Density estimation and comparison with a penalized mixture approach ⋮ Convergence rates for logspline tomography

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