Statistical Inference as a Bargaining Game
نویسندگان
چکیده
This paper extends the analogy previously established by Leamer (1978a), between a Bayesian inference problem and an economics allocation problem, to show that posterior modes can be interpreted as optimal outcomes of a bargaining game. This bargaining game, over a parameter value, is played between two players: the researcher (with preferences represented by the prior) and the data (with preferences represented by the likelihood).
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تاریخ انتشار 2002