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Table 3 Averaged computational time (in seconds) and corresponding standard deviations (in the parentheses) for each method

From: Improved two-stage model averaging for high-dimensional linear regression, with application to Riboflavin data analysis

Setting

MAIC

LASSO

MCV

IMA

SISSCAD

Setting (a)

13.773

.397

13.767

.457

.035

(7.012)

(.020)

(7.010)

(.046)

(.002)

Setting (b)

2.237

.672

2.220

.749

.047

(.612)

(.064)

(.598)

(.082)

(.006)

Setting (c)

9.757

.405

9.727

.472

.037

(3.624)

(.023)

(3.612)

(.050)

(.002)

Setting (d)

11.600

.298

11.599

.510

.037

(2.993)

(.069)

(2.992)

(.072)

(.003)

Setting (e)

2.065

.403

2.069

.922

.047

(.418)

(.075)

(.429)

(.097)

(.001)

Setting (f)

9.667

.325

9.595

.594

.038

(2.727)

(.069)

(2.706)

(.079)

(.005)