Statistical Decision Theory in Economic and Game Theory: A Framework using Non-Standard Analysis
Abstract
In this talk we articulate a vision, and present work, of use and consequence to economic theory. It points towards an emergent, new framework for decision theory in which arguments are based mainly on studying suitable finite fragments of decision problems, and where one works with consistent (model-theoretic) types, which are most easily grasped by realizing them in a saturated non-standard extensions.
We shall focus on recent advances in the application of methods from non-standard analysis to statistical decision theory: specifically, a characterization of e admissibility in statistica decision problems using nonstandard extensions that allow exact versions of approximate criteria found in previous standard methods of showing admissibility.
Presenter #2
Name
Maxwell B. Stinchcombe
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Affiliation
Dept. Econ, U.T. Austin
Country
USA
Title of Paper
MISSPECIFICATION AND NORMATIVE ADEQUACY IN CONTINUUM POPULATION GAMES
Presenter #3
Name
Arthur Paul Pedersen
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Affiliation
Graduate Center, CUNY
Country
USA
Title of Paper
Hidden Assumptions in Decsion Theory
Co-Authors (if applicable)
Name
Affiliation
Country
Aniruddha Ghosh
Johns Hopkins University
USA
M Ali Khan
Johns Hopkins University
USA
Presenter #4
Name
Konrad Podczeck
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Affiliation
University of Vienna
Country
Austria
Title of Paper
Existence of Walrasian equilibria with discontinuous, non-ordered, interdependent preferences, without free disposal, and with an infinite-dimensional commodity space