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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)