Tibshirani, Ryan J. Divided differences, falling factorials, and discrete splines: another look at trend filtering and related problems. (English) Zbl 07582342 Found. Trends Mach. Learn. 15, No. 6, 694-846 (2022). MSC: 62-02 PDFBibTeX XMLCite \textit{R. J. Tibshirani}, Found. Trends Mach. Learn. 15, No. 6, 694--846 (2022; Zbl 07582342) Full Text: DOI arXiv
Sadhanala, Veeranjaneyulu; Tibshirani, Ryan J. Additive models with trend filtering. (English) Zbl 1436.62450 Ann. Stat. 47, No. 6, 3032-3068 (2019). Reviewer: Kurt Marti (München) MSC: 62M20 60G35 93E11 62G08 62J05 PDFBibTeX XMLCite \textit{V. Sadhanala} and \textit{R. J. Tibshirani}, Ann. Stat. 47, No. 6, 3032--3068 (2019; Zbl 1436.62450) Full Text: DOI arXiv Euclid
Ali, Alnur; Tibshirani, Ryan J. The generalized Lasso problem and uniqueness. (English) Zbl 1473.62247 Electron. J. Stat. 13, No. 2, 2307-2347 (2019). MSC: 62J07 62J12 90C46 PDFBibTeX XMLCite \textit{A. Ali} and \textit{R. J. Tibshirani}, Electron. J. Stat. 13, No. 2, 2307--2347 (2019; Zbl 1473.62247) Full Text: DOI arXiv Euclid
Hyun, Sangwon; G’sell, Max; Tibshirani, Ryan J. Exact post-selection inference for the generalized Lasso path. (English) Zbl 1473.62249 Electron. J. Stat. 12, No. 1, 1053-1097 (2018). MSC: 62J07 62F03 62G15 PDFBibTeX XMLCite \textit{S. Hyun} et al., Electron. J. Stat. 12, No. 1, 1053--1097 (2018; Zbl 1473.62249) Full Text: DOI arXiv Euclid
Tibshirani, Ryan J. Adaptive piecewise polynomial estimation via trend filtering. (English) Zbl 1307.62118 Ann. Stat. 42, No. 1, 285-323 (2014). Reviewer: Vjatscheslav Vasiliev (Tomsk) MSC: 62G08 62G05 62G20 62P35 PDFBibTeX XMLCite \textit{R. J. Tibshirani}, Ann. Stat. 42, No. 1, 285--323 (2014; Zbl 1307.62118) Full Text: DOI arXiv Euclid
Tibshirani, Ryan J.; Taylor, Jonathan The solution path of the generalized lasso. (English) Zbl 1234.62107 Ann. Stat. 39, No. 3, 1335-1371 (2011). MSC: 62J05 65C60 62J99 PDFBibTeX XMLCite \textit{R. J. Tibshirani} and \textit{J. Taylor}, Ann. Stat. 39, No. 3, 1335--1371 (2011; Zbl 1234.62107) Full Text: DOI arXiv