Results 11 to 20 of about 105 (101)
Dynamic identification of logistics critical roads based on BeiDou trajectory data
IET 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
Molecular 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
Statistics 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
A Comparison of Correlation Coefficients via a Three-Step Bootstrap Approach [PDF]
, 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
Mathematical 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
Journal of Multivariate Analysis / Quantifying directed dependence via dimension reduction
, 2023 Studying the multivariate extension of copula correlation yields a dimension reduction principle,which turns out to be strongly related with the ‘simple measure of conditional dependence’ ??recently introduced by Azadkia and Chatterjee (2021).
Fuchs, Sebastian
core +1 more source
Collective Schedules: Axioms and Algorithms
, 2022 International audienceThe collective schedules problem consists in computing a schedule of tasks shared between individuals. Tasks may have different duration, and individuals have preferences over the order of the shared tasks. This problem has numerous
Durand, Martin, Pascual, Fanny
core +1 more source
Comparing Google Scholar and ISI Web of Science for Earth Sciences [PDF]
, 2009 In order to measure the degree to which Google Scholar can compete with bibliographical databases, search results from this database is compared with Thomson’s ISI WoS (Institute for Scientific Information, Web of Science).
Susanne Mikki, Mikki, Susanne
core +1 more source
Corrected Evolutive Kendall's tau Coefficients for Incomplete Rankings with Ties: Application to Case of Spotify Lists [PDF]
, 2020 [EN] Mathematical analysis of rankings is essential for a wide range of scientific, public, and industrial applications (e.g., group decision-making, organizational methods, R&D sponsorship, recommender systems, voter systems, sports competitions, grant ...
Pedroche Sánchez, Francisco +3 more
core +1 more source
CPT: Pharmacometrics &Systems Pharmacology, Volume 8, Issue 4, Page 211-219, April 2019., 2019 Drug‐induced peripheral neuropathy is a side effect of a variety of therapeutic agents that can affect therapeutic adherence and lead to regimen modifications, impacting patient quality of life. The molecular mechanisms involved in the development of this condition have yet to be completely described in the literature.
Guillermo de Anda‐Jáuregui +3 more
wiley +1 more source