ASYMPTOTIC DISTRIBUTIONS OF HIGH-DIMENSIONAL DISTANCE CORRELATION INFERENCE. [PDF]
Gao L, Fan Y, Lv J, Shao QM.
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AI-powered predictive framework for crack detection in steel-copper laser welding. [PDF]
Nagendra J +6 more
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Indices de Sobol généralisés pour variables dépendantes
A mathematical model aims at characterizing a complex system or process that is too expensive to experiment. However, in this model, often strongly non linear, input parameters can be affected by a large uncertainty including errors of measurement of ...
Chastaing, Gaëlle
core
Sample size formula for general win ratio analysis. [PDF]
Mao L, Kim K, Miao X.
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Sensitivity analysis and dependent input variables
Dans un modèle qui peut s'avérer complexe et fortement non linéaire, les paramètres d'entrée, parfois en très grand nombre, peuvent être à l'origine d'une importante variabilité de la sortie. L'analyse de sensibilité globale est une approche stochastique
Chastaing, Gaëlle
core
Utilizing RNA-seq data in monotone iterative generalized linear model to elevate prior knowledge quality of the circRNA-miRNA-mRNA regulatory axis. [PDF]
Anuarbekov A, Kléma J.
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Hierarchical MAB Framework for Energy-Aware Beam Training for Near-Field Communications. [PDF]
Xiang Y +7 more
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Optimal High-order Tensor SVD via Tensor-Train Orthogonal Iteration. [PDF]
Zhou Y, Zhang AR, Zheng L, Wang Y.
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A class of U-statistics and asymptotic normality of the number of k-clusters
A central limit theorem is proved for a class of U-statistics whose kernel depends on the sample size and for which the projection method may fail, since several terms in the Hoeffding decomposition contribute to the limiting variance.
Ghosh, Jayanta K., Bhattacharya, Rabi N.
core
The adaptive functional piecewise ordered weighted averaging method and its application to pollutant concentration analysis. [PDF]
Li Y, Hu X, Tian M.
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