▁ ▁The ▁point ▁to ▁note ▁here ▁is ▁that ▁this ▁statement ▁miss es ▁the ▁fact ▁that ▁the ▁horizon ▁of ▁uncertainty ▁ ▁is ▁bounded ▁above ▁( imp licit ly ) ▁by ▁the ▁performance ▁requirement ▁▁ ▁and ▁that ▁info - g ap ▁conduct s ▁its ▁worst - case ▁analysis — one ▁analysis ▁at ▁a ▁time ▁for ▁a ▁given ▁  ▁-- ▁within ▁each ▁of ▁the ▁regions ▁of ▁uncertainty ▁ ▁. ▁ ▁In ▁short , ▁given ▁the ▁discuss ions ▁in ▁the ▁info - g ap ▁literature ▁on ▁this ▁issue , ▁it ▁is ▁obvious ▁that ▁the ▁kin ship ▁between ▁info - g ap ' s ▁robust ness ▁model ▁and ▁Wald ' s ▁Max imin ▁model , ▁as ▁well ▁as ▁info - g ap ' s ▁kin ship ▁with ▁other ▁models ▁of ▁classical ▁decision ▁theory ▁must ▁be ▁brought ▁to ▁light . ▁So , ▁ ▁the ▁ ▁objective ▁in ▁this ▁section ▁is ▁to ▁place ▁info - g ap ' s ▁robust ness ▁and ▁opportun eness ▁models ▁in ▁their ▁proper ▁context , ▁namely ▁within ▁the ▁wider ▁frameworks ▁of ▁classical ▁decision ▁theory ▁and ▁robust ▁optimization . ▁ ▁The ▁discussion ▁is ▁based ▁on ▁the ▁classical ▁decision ▁the or etic ▁perspective ▁out lined ▁by ▁Sn ied ov ich ▁( 2 0 0 7 ) ▁and ▁on ▁standard ▁texts ▁in ▁this ▁area ▁( e . g . ▁Res nik ▁ 1 9 8 7 , ▁French ▁ 1 9 8 8 ). ▁▁ ▁C ertain ▁parts ▁of ▁the ▁ex position ▁that ▁follows ▁have ▁a ▁mathematical ▁sl ant . ▁ ▁This ▁is ▁un av oid able ▁because