Fitting jump additive models

DOI10.1016/J.CSDA.2021.107266OpenAlexW3163739514MaRDI QIDQ2242043

Yicheng Kang, Dongdong Xiang, Yue-Yong Shi, Yu Ling Jiao, Wen-Dong Li

Publication date: 9 November 2021

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2021.107266

zbMATH Keywords

smoothingnonparametric regressionbackfittingjump-preserving estimationweighted residual mean squares

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• ElemStatLearn

Cites Work

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• Image Processing and Jump Regression Analysis
• A kernel method of estimating structured nonparametric regression based on marginal integration
• A Correspondence Between Bayesian Estimation on Stochastic Processes and Smoothing by Splines

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