On comprehensive families of copulas involving the three basic copulas and transformations thereof
Comprehensive families of copulas including the three basic copulas (at least as limit cases) are useful tools to model countermonotonicity, independence, and comonotonicity of pairs of random variables on the same probability space. In this contribution,
Saminger-Platz Susanne +4 more
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Protocol for executing and benchmarking eight computational doublet-detection methods in single-cell RNA sequencing data analysis. [PDF]
Xi NM, Li JJ.
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Estimating the parameters of a dependent model and applying it to environmental data set. [PDF]
Mohtashami-Borzadaran V +2 more
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On the rank-deficient canonical correlation technique solved by analytic spectral decomposition. [PDF]
Malec L.
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An Expectation-Maximization Algorithm for Combining a Sample of Partially Overlapping Covariance Matrices. [PDF]
Akdemir D, Somo M, Isidro-Sanchéz J.
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The Kendall interaction filter for variable interaction screening in high dimensional classification problems. [PDF]
Anzarmou Y, Mkhadri A, Oualkacha K.
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A dimension reduction for extreme types of directed dependence
In recent years, a variety of novel measures of dependence have been introduced being capable of characterizing diverse types of directed dependence, hence diverse types of how a number of predictor variables X = (X 1, …, X p), p∈N $p\in \mathbb{N ...
Fuchs Sebastian, Limbach Carsten
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Quantile association regression on bivariate survival data. [PDF]
Chen LW, Cheng Y, Ding Y, Li R.
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Benchmarking Computational Doublet-Detection Methods for Single-Cell RNA Sequencing Data. [PDF]
Xi NM, Li JJ.
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ASYMPTOTIC DISTRIBUTIONS OF HIGH-DIMENSIONAL DISTANCE CORRELATION INFERENCE. [PDF]
Gao L, Fan Y, Lv J, Shao QM.
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