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Minimax,information and ultrapessimism
Authors:Giovanni Parmigiani
Affiliation:(1) Institute of Statistics and Decision Sciences, Duke University, 27708-0251 Durham, NC, U.S.A.
Abstract:Discussing the foundations of the minimax principle, Savage (1954) argued that it is ldquoutterly untenable for statisticsrdquo because it is ldquoultrapessimisticrdquo when applied to negative income, but claimed that such objection is not relevant when the principle is applied to regret. In this paper I rebut the latter claim. I first present an example where ultrapessimism, as Savage understood it, applies to minimax regret but not to minimax negative income. Then, for a sequential decision problems with two terminal acts and a finite number of states of nature, I give necessary and sufficient conditions for a decision rule to be ultrapessimistic, and show that for every payoff table with at least three states, be it in regret form or not, there exist an experiment such that the minimax rule is ultrapessimistic. I conclude with some more general remarks on information and the value of experimentation for a minimax agent.
Keywords:Minimax principle  regret  sequential statistical decisions  information  identifiability  least favorable distributions  ultrapessimism
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