Penalized B-spline estimator for regression functions using total variation penalty

DOI10.1016/j.jspi.2016.12.003zbMath1395.62080OpenAlexW2562607993MaRDI QIDQ511676

Ja-Yong Koo, Jae-Hwan Jhong, Seong-Whan Lee

Publication date: 22 February 2017

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2016.12.003

zbMATH Keywords

adaptive estimationoracle inequalitiesLassocoordinate descent algorithmpenalized least squaresB-spline estimatorregression functions

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Density estimation (62G07) Ridge regression; shrinkage estimators (Lasso) (62J07) Asymptotic properties of nonparametric inference (62G20)

Related Items (6)

Additive regression splines with total variation and non negative garrote penalties ⋮ Penalized logspline density estimation using total variation penalty ⋮ Penalized I-spline monotone regression estimation ⋮ Simultaneous estimation of quantile regression functions using B-splines and total variation penalty ⋮ Spatially adaptive binary classifier using B-splines and total variation penalty ⋮ Penalized polygram regression

Uses Software

• glmnet
• SparseM

Cites Work

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