A note on testing the covariance matrix for large dimension [PDF]
We consider the problem of testing hypotheses regarding the covariance matrix of multivariate normal data, if the sample size s and dimension n satisfy lim [n,s→∞] n/s = y. Recently, several tests have been proposed in the case, where the sample size and
Dette, Holger, Birke, Melanie
core
Local genetic covariance analysis with lipid traits identifies novel loci for early-onset Alzheimer's Disease. [PDF]
Ray NR +13 more
europepmc +1 more source
State-space modelling for infectious disease surveillance data: Dynamic regression and covariance analysis. [PDF]
Prashad CD.
europepmc +1 more source
Pain Severity During Hysteroscopy by GUBBINI System in Local Anesthesia: Covariance Analysis of Treatment and Effects, Including Patient Emotional State. [PDF]
Chmaj-Wierzchowska K +9 more
europepmc +1 more source
Statistical notes for clinical researchers: analysis of covariance (ANCOVA) [PDF]
Hae-Young Kim
doaj +1 more source
Orthogonal Methods for Generating Large Positive Semi-Definite Covariance Matrices [PDF]
It is a common problem in risk management today that risk measures and pricing models are being applied to a very large set of scenarios based on movements in all possible risk factors.
Carol Alexander
core
Beyond diagonal noise: A better predator-prey modeling framework with cross-covariance. [PDF]
Yu J, Wang LS.
europepmc +1 more source
Robust Adaptive Beamforming Algorithm Based on Improved Generalized Linear Combination. [PDF]
Gao Z +5 more
europepmc +1 more source

