Smoothing Splines and Rank Structured Matrices: Revisiting the Spline Kernel
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Publication:5112235
DOI10.1137/19M1267349zbMath1440.65038MaRDI QIDQ5112235
Martin S. Andersen, Tianshi Chen
Publication date: 28 May 2020
Published in: SIAM Journal on Matrix Analysis and Applications (Search for Journal in Brave)
Numerical computation using splines (65D07) Numerical smoothing, curve fitting (65D10) Gaussian processes (60G15) Probabilistic models, generic numerical methods in probability and statistics (65C20) Direct numerical methods for linear systems and matrix inversion (65F05)
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Uses Software
Cites Work
- Maximum entropy properties of discrete-time first-order stable spline kernel
- Smoothing by spline functions. II
- A new kernel-based approach for linear system identification
- Smoothing by spline functions.
- Some results on Tchebycheffian spline functions and stochastic processes
- Fast Principal Components Analysis Method for Finance Problems With Unequal Time Steps
- A New Algorithm for Spline Smoothing Based on Smoothing a Stochastic Process
- On computing certain elements of the inverse of a sparse matrix
- Maximum Entropy Kernels for System Identification
- SPLINE FUNCTIONS AND THE PROBLEM OF GRADUATION
- A Primer on Reproducing Kernel Hilbert Spaces
- Smoothing noisy data with spline functions
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