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Automatic Evaluation of Information Ordering: Kendall's Tau [PDF]
Computational Linguistics, 2021 This article considers the automatic evaluation of information ordering, a task underlying many text-based applications such as concept-to-text generation and multidocument summarization. We propose an evaluation method based on Kendall's τ, a metric of rank correlation. The method is inexpensive, robust, and representation independent.
Mirella Lapata
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Study of partial and average conditional Kendall’s tau [PDF]
Dependence Modeling, 2021 When the interest is in studying conditional dependencies, and more precisely the strength of conditional dependencies, some kind of averaging over the conditioning random vector may be needed.
Gijbels Irène, Matterne Margot
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Fast estimation of Kendall's Tau and conditional Kendall's Tau matrices under structural assumptions
Dependence ModelingKendall’s tau and conditional Kendall’s tau matrices are multivariate (conditional) dependence measures between the components of a random vector. For large dimensions, available estimators are computationally expensive and can be improved by averaging ...
van der Spek Rutger, Derumigny Alexis
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ERJ Open Research, 2022 Background The functional impact of breathlessness is assessed using the modified Medical Research Council (mMRC) scale for chronic respiratory disease and with the New York Heart Association Functional Classification (NYHA) scale for heart failure.
Zainab Ahmadi +9 more
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TESTING FOR CHANGES IN KENDALL’S TAU [PDF]
Econometric Theory, 2016 For a bivariate time series ((Xi,Yi))i=1,...,n, we want to detect whether the correlation betweenXiandYistays constant for alli= 1,...n. We propose a nonparametric change-point test statistic based on Kendall’s tau. The asymptotic distribution under the null hypothesis of no change follows from a newU-statistic invariance principle for dependent ...
Dehling, Herold +3 more
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Multiple Ordinal Correlation Based on Kendall’s Tau Measure: A Proposal
Mathematics, 2021 The joint analysis of various ordinal variables is necessary in many experimental studies within research fields such as sociology and psychology. Therefore, the necessary measures of multiple ordinal dependence must be easy to interpret and facilitate ...
Juan M. Muñoz-Pichardo +3 more
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Dependence Modeling, 2023 Working with shuffles, we establish a close link between Kendall’s τ\tau , the so-called length measure, and the surface area of bivariate copulas and derive some consequences.
Sánchez Juan Fernández +1 more
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Frontiers in Applied Mathematics and Statistics, 2022 In this study, a new market representation from persistence homology, known as the L1-norm time series, is used and applied independently with three critical slowing down indicators [autocorrelation function at lag 1, variance, and mean for power ...
Mohd Sabri Ismail +3 more
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Le tau de Kendall et deux variantes pour mesurer la cohérence de variation entre deux séries ordinales, leurs propriétés et leurs valeurs critiques "honnêtes" [PDF]
Tutorials in Quantitative Methods for Psychology, 2022 A measure of the consistency of variation in a bivariate series of ordinal data, Kendall's tau (\tau) has properties and exhibits distributional characteristics that are distinct from Pearson's r, each coefficient deserving its own interpretation.
Laurencelle, Louis
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Validation of clinical frailty scale in Chinese translation
BMC Geriatrics, 2022 Background Identification of frailty is crucial to guide patient care for the elderly. The Clinical Frailty Scale (CFS) is a reliable, synthesis and clinical judgment-based tool. However, a validated Chinese version of CFS (CFS-C) is lacking.
Yi-Chun Chou +8 more
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