Orthant tail dependence of multivariate extreme value distributions
The orthant tail dependence describes the relative deviation of upper- (or lower-) orthant tail probabilities of a random vector from similar orthant tail probabilities of a subset of its components, and can be used in the study of dependence among ...
Li, Haijun
core
On Stein's lemma, dependent covariates and functional monotonicity in multi-dimensional modeling
Tracking the correct directions of monotonicity in multi-dimensional modeling plays an important role in interpreting functional associations. In the presence of multiple predictors, we provide empirical evidence that the observed monotone directions via
Li, Jialiang +2 more
core
Multivariate Tail Coefficients: Properties and Estimation. [PDF]
Gijbels I, Kika V, Omelka M.
europepmc +1 more source
A SIMPLE, CONSISTENT ESTIMATOR OF SNP HERITABILITY FROM GENOME-WIDE ASSOCIATION STUDIES. [PDF]
Schwartzman A +3 more
europepmc +1 more source
Asymmetric canonical correlation analysis of Riemannian and high-dimensional data. [PDF]
Buenfil J, Lila E.
europepmc +1 more source
Sparse canonical correlation analysis between an alcohol biomarker and self-reported alcohol consumption. [PDF]
Helian S, Brumback BA, Cook RL.
europepmc +1 more source
Outcome-dependent sampling designs are commonly used in economics, market research and epidemiological studies. Case-control sampling design is a classic example of outcome-dependent sampling, where exposure information is collected on subjects ...
Mukherjee, Bhramar, Liu, Ivy
core
A Double Regression Method for Graphical Modeling of High-dimensional Nonlinear and Non-Gaussian Data. [PDF]
Liang S, Liang F.
europepmc +1 more source
Analytic posteriors for Pearson's correlation coefficient. [PDF]
Ly A, Marsman M, Wagenmakers EJ.
europepmc +1 more source
A note on the Galambos copula and its associated Bernstein function
Mai Jan-Frederik
doaj +1 more source

