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Bibliographic Details
Main Author: Perreault, Samuel
Format: Preprint
Published: 2022
Subjects:
Online Access:https://arxiv.org/abs/2206.04019
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author Perreault, Samuel
author_facet Perreault, Samuel
contents We present efficient algorithms for simultaneously computing Kendall's tau and the jackknife estimator of its variance. For the classical pairwise tau, we describe a modification of Knight's algorithm (originally designed to compute only tau) that does so while preserving its $O(n \log_2 n)$ runtime in the number of observations $n$. We also introduce a novel algorithm computing a multivariate extension of tau and its jackknife variance in $O(n \log_2^p n)$ time.
format Preprint
id arxiv_https___arxiv_org_abs_2206_04019
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Simultaneous computation of Kendall's tau and its jackknife variance
Perreault, Samuel
Computation
62H20, 62G05
We present efficient algorithms for simultaneously computing Kendall's tau and the jackknife estimator of its variance. For the classical pairwise tau, we describe a modification of Knight's algorithm (originally designed to compute only tau) that does so while preserving its $O(n \log_2 n)$ runtime in the number of observations $n$. We also introduce a novel algorithm computing a multivariate extension of tau and its jackknife variance in $O(n \log_2^p n)$ time.
title Simultaneous computation of Kendall's tau and its jackknife variance
topic Computation
62H20, 62G05
url https://arxiv.org/abs/2206.04019