most citedFast Algorithm for computing a matrix transform used to detect trends in noisy data

3 citations · 3 across the 2 of their papers we have counts for

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2 papers

stat.ME2025

Least Squares as Random Walks

Alexander Kostinski, Glenn Ierley, Sarah Kostinski

Linear least squares (LLS) is perhaps the most common method of data analysis, dating back to Legendre, Gauss and Laplace. Framed as linear regression, LLS is also a backbone of ma…

physics.data-an2020★ 3 cited

Fast Algorithm for computing a matrix transform used to detect trends in noisy data

D. J. Kestner, G. R. Ierley, A. B. Kostinski

A recently discovered universal rank-based matrix method to extract trends from noisy time series is described in [1] but the formula for the output matrix elements, implemented th…