An algorithm for linear mixed models substantially reduces memory usage and run time for genome-wide association studies. The improved algorithm scales linearly in cohort size, allowing the ...

An important challenge in analyzing high dimensional data in regression settings is that of facing a situation in which the number of covariates p in the model greatly exceeds the sample size n ...

R. Dennis Cook, Bing Li, Francesca Chiaromonte, ENVELOPE MODELS FOR PARSIMONIOUS AND EFFICIENT MULTIVARIATE LINEAR REGRESSION, Statistica Sinica, Vol. 20, No. 3 (July 2010), pp. 927-960 ...