LEARNING IN RANDOM UTILITY MODELS VIA ONLINE DECISION PROBLEMS
Emerson Melo ()
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Emerson Melo: Indiana University, Bloomington
CAEPR Working Papers from Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington
Keywords: Random utility models; Multinomial Logit Model; Generalized Nested Logit models; GEV class; Online optimization; Online learning; Hannan consistency; no-regret learning (search for similar items in EconPapers)
Pages: 51 pages
New Economics Papers: this item is included in nep-big, nep-dcm and nep-upt
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Persistent link: https://EconPapers.repec.org/RePEc:inu:caeprp:2022003
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