In high-dimensional settings where the number of variables approaches or exceeds the sample size, classical sample covariance matrices become unstable and singular. Covariance matrix estimation ...
As a key variance partitioning tool, linear mixed models (LMMs) using genome-based restricted maximum likelihood (GREML) allow both fixed and random effects. Classic LMMs assume independence between ...
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