Results 11 to 20 of about 31,875 (125)

On the Lower Bound of Spearman’s Footrule

open access: yesDependence Modeling, 2019
Úbeda-Flores showed that the range of multivariate Spearman’s footrule for copulas of dimension d ≥ 2 is contained in the interval [−1/d, 1], that the upper bound is attained exclusively by the upper Fréchet-Hoeffding bound, and that the lower bound is ...
Sebastian Fuchs
exaly   +3 more sources

Multivariate Extension Application for Spearman’s Footrule Correlation Coefficient

open access: yesMathematics
This paper presents a simplified and computationally feasible multivariate extension. A correlation matrix is constructed using pairwise Spearman’s footrule correlation coefficients, and these coefficients are shown to jointly converge to a multivariate ...
Liqi Xia, Sami Ullah, Li Guan
exaly   +4 more sources

Dynamic identification of logistics critical roads based on BeiDou trajectory data

open access: yesIET Intelligent Transport Systems, Volume 17, Issue 7, Page 1467-1481, July 2023., 2023
In this work, we propose a dynamic identification method of logistics critical roads based on BeiDou trajectory data considering built environment and truck behavior factors.The conformity of proposed method with reality is >85% in a case study of Hongqi town.
Baofeng Sun   +4 more
wiley   +1 more source

Transcriptomic pan‐cancer analysis using rank‐based Bayesian inference

open access: yesMolecular Oncology, Volume 17, Issue 4, Page 548-563, April 2023., 2023
We propose subgroup identification for pan‐cancer studies via novel rank‐based Bayesian clustering, illustrated on RNA‐seq samples from 12 tumor types. The method provides probabilistic assessments of cluster stability and transparent biological interpretation of identified clusters through their top‐ranked genes.
Valeria Vitelli   +6 more
wiley   +1 more source

Rank‐based Bayesian variable selection for genome‐wide transcriptomic analyses

open access: yesStatistics in Medicine, Volume 41, Issue 23, Page 4532-4553, 15 October 2022., 2022
Variable selection is crucial in high‐dimensional omics‐based analyses, since it is biologically reasonable to assume only a subset of non‐noisy features contributes to the data structures. However, the task is particularly hard in an unsupervised setting, and a priori ad hoc variable selection is still a very frequent approach, despite the evident ...
Emilie Eliseussen   +2 more
wiley   +1 more source

Clustering on Ranked Data for Campaign Selection

open access: yesIEEE Access, 2020
Recently the ranked data are commonly seen in the era of Internet and e-commerce where the consumers give their opinion in the form of ranks of a set of items online.
Umang Gupta   +2 more
doaj   +1 more source

On the exact region determined by Spearman's rho and Spearman's footrule [PDF]

open access: yes, 2022
We determine the lower bound for possible values of Spearman's rho of a bivariate copula given that the value of its Spearman's footrule is known and show that this bound is always attained.
Bukovšek, Damjana Kokol   +4 more
core   +1 more source

A Comparison of Correlation Coefficients via a Three-Step Bootstrap Approach [PDF]

open access: yes, 2010
In this article we compare ten correlation coefficients using a three-step bootstrap approach (TSB). A three-step bootstrap is applied to determine the optimal repetitions, $B$, to estimate the standard error of the statistic with certain degree of ...
Elsayigh, A.   +2 more
core   +1 more source

Robust risk aggregation with neural networks

open access: yesMathematical Finance, Volume 30, Issue 4, Page 1229-1272, October 2020., 2020
Abstract We consider settings in which the distribution of a multivariate random variable is partly ambiguous. We assume the ambiguity lies on the level of the dependence structure, and that the marginal distributions are known. Furthermore, a current best guess for the distribution, called reference measure, is available.
Stephan Eckstein   +2 more
wiley   +1 more source

Copula-Based Dependence Measures For Piecewise Monotonicity

open access: yesDependence Modeling, 2017
The aim of the present paper is to develop and examine association coefficients which can be helpfully applied in the framework of regression analysis.
Liebscher Eckhard
doaj   +1 more source

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