Trend filtering by adaptive piecewise polynomials

DOI10.1016/j.cnsns.2022.106866OpenAlexW4297839612MaRDI QIDQ2094471

Soo-Hyun Kim, Sangwoon Yun, Yoon Mo Jung, Juyoung Jeong

Publication date: 28 October 2022

Published in: Communications in Nonlinear Science and Numerical Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cnsns.2022.106866

zbMATH Keywords

nonlinear regressionpiecewise polynomial regressiontrend filteringbreakpoint merging

Mathematics Subject Classification ID

Linear inference, regression (62Jxx) Numerical approximation and computational geometry (primarily algorithms) (65Dxx) Nonparametric inference (62Gxx)

Cites Work

• Unnamed Item
• Detecting break points in generalized linear models
• Locally adaptive regression splines
• An exact algorithm for estimating breakpoints in segmented generalized linear models
• Adaptive piecewise polynomial estimation via trend filtering
• $\ell_1$ Trend Filtering
• Some Algorithms for Linear Spline and Piecewise Multiple Linear Regression

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