Econometrica, Vol. 72, No. 3 (May, 2004), 781–822 BEHAVIOR IN A DYNAMIC DECISION PROBLEM: AN ANALYSIS OF EXPERIMENTAL EVIDENCE USING A BAYESIAN TYPE CLASSIFICATION ALGORITHM BY DANIEL HOUSER, MICHAEL KEANE, AND KEVIN - Mathematical principles of reinforcement - Document - PDFSEARCH.IO

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	Econometrica, Vol. 72, No. 3 (May, 2004), 781–822 BEHAVIOR IN A DYNAMIC DECISION PROBLEM: AN ANALYSIS OF EXPERIMENTAL EVIDENCE USING A BAYESIAN TYPE CLASSIFICATION ALGORITHM BY DANIEL HOUSER, MICHAEL KEANE, AND KEVIN Add to Reading List Document Date: 2005-09-11 15:41:39 Open Document File Size: 483,67 KB Share Result on Facebook Company Wilson / Cox / Economic Science Laboratory / / Currency USD / / Facility George Mason University / University of Arizona / Boston University / DePaul University / Economic Science Laboratory / New York University / Arizona State University / / IndustryTerm mathematical expectation operator / type classification algorithm / recent applications / search models / / Organization DePaul University / Economic Science Association / New York University / office of the Vice / Arizona State University / George Mason University / Yale / CV-STARR Center / Russell Sage Foundation / Boston University / NYU / University of Arizona / International Foundation for Research / / Person Harrison / Morgan / MICHAEL KEANE / Geweke / / Position investigator / editor / Walker / researcher / analyst / operative / / ProgrammingLanguage V / Visual Basic / K / / ProvinceOrState Arizona / / Technology Bayesian algorithm / type classification algorithm / simulation / Gibbs sampling algorithm / /

Econometrica, Vol. 72, No. 3 (May, 2004), 781–822 BEHAVIOR IN A DYNAMIC DECISION PROBLEM: AN ANALYSIS OF EXPERIMENTAL EVIDENCE USING A BAYESIAN TYPE CLASSIFICATION ALGORITHM BY DANIEL HOUSER, MICHAEL KEANE, AND KEVIN Add to Reading List