On comprehensive families of copulas involving the three basic copulas and transformations thereof
Dependence ModelingComprehensive 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]
STAR Protoc, 2021 Xi NM, Li JJ.
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Estimating the parameters of a dependent model and applying it to environmental data set. [PDF]
J Appl Stat, 2023 Mohtashami-Borzadaran V +2 more
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Profile identification via weighted related metric scaling : an application to dependent Spanish children [PDF]
, 2011 AMS subject classification: 62-07, 62-09, 62H20, 62H99, 62P05Disability and dependency (lack of autonomy in performing common everyday actions) affect health status and quality of life, therefore they are significant public health issues.
Albarrán, Irene +4 more
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On the rank-deficient canonical correlation technique solved by analytic spectral decomposition. [PDF]
J Appl Stat, 2022 Malec L.
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An Expectation-Maximization Algorithm for Combining a Sample of Partially Overlapping Covariance Matrices. [PDF]
Axioms, 2023 Akdemir D, Somo M, Isidro-Sanchéz J.
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Multivariate measures of positive dependence
, 2008 In this paper a set of desirable properties for measures of positive dependence of ordered n-tuples of continuous random variables (n ≥ 2)is proposed and a class of multivariate positive dependence measures is introduced.
CARDIN, Marta, CARDIN M.
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A dimension reduction for extreme types of directed dependence
Dependence ModelingIn 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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The Kendall interaction filter for variable interaction screening in high dimensional classification problems. [PDF]
J Appl Stat, 2023 Anzarmou Y, Mkhadri A, Oualkacha K.
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Ascertaining the Underlying Distribution of a Data Set
, 1994 We combine the concept of maximum correlation between two random variables with the Principal Coordinate Analysis technique, to propose a descriptive procedure to ascertain the underlying probability distribution of a univariate sample.
C. M. Cuadras, J. Fortiana
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