Conditional logspline density estimation

DOI10.2307/3316133zbMath0959.62033OpenAlexW2050520149MaRDI QIDQ4488794

Young K. Truong, Benoit Masse

Publication date: 2 May 2001

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

Full work available at URL: https://doi.org/10.2307/3316133

zbMATH Keywords

Akaike information criterionmaximum likelihoodB-splinesconditional density estimationBayes information criterionstepwise knot deletionquantile-function estimationregression-function estimation

Mathematics Subject Classification ID

Density estimation (62G07) Numerical computation using splines (65D07)

Related Items (3)

Unnamed Item ⋮ A review of uncertainty quantification for density estimation ⋮ Survival estimation through the cumulative hazard function with monotone natural cubic splines

Cites Work

• The use of polynomial splines and their tensor products in multivariate function estimation. (With discussion)
• A study of logspline density estimation
• Robust confidence bounds for extreme upper quantiles
• Quantile smoothing splines
• Hazard Regression
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