Divided Differences, Falling Factorials, and Discrete Splines: Another Look at Trend Filtering and Related Problems
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Abstract (arXiv)
This paper reviews a class of univariate piecewise polynomial functions known as discrete splines, which share properties analogous to the better-known class of spline functions, but where continuity in derivatives is replaced by (a suitable notion of) continuity in divided differences. As it happens, discrete splines bear connections to a wide array of developments in applied mathematics and statistics, from divided differences and Newton interpolation (dating back to over 300 years ago) to trend filtering (from the last 15 years). We survey these connections, and contribute some new perspectives and new results along the way.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 9 Mar 2020.
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Citing papers per year: 2021: 1; 2022: 3; 2023: 0; 2024: 1; 2025: 0; 2026: 1.
6 papers.
- 2021Multivariate Trend Filtering for Lattice Datacited by 4
- 2022The Voronoigram: Minimax Estimation of Bounded Variation Functions From Scattered Datacited by 3
- 2022A Cross Validation Framework for Signal Denoising with Applications to Trend Filtering, Dyadic CART and Beyondcited by 1
- 2022Spatially Adaptive Online Prediction of Piecewise Regular Functionscited by 1
- 2026Whittaker-Henderson smoother for long satellite image time series interpolationcited by 1
- 2024A new approach to locally adaptive polynomial regressioncited by 0
- 2026Whittaker-Henderson smoother for long satellite image time series interpolation30 Mar 2026
- 2024A new approach to locally adaptive polynomial regression27 Dec 2024
- 2022The Voronoigram: Minimax Estimation of Bounded Variation Functions From Scattered Data30 Dec 2022
- 2022Spatially Adaptive Online Prediction of Piecewise Regular Functions30 Mar 2022
- 2022A Cross Validation Framework for Signal Denoising with Applications to Trend Filtering, Dyadic CART and Beyond7 Jan 2022
- 2021Multivariate Trend Filtering for Lattice Data29 Dec 2021