Entropy Maximization as a Basis for Information Recovery in Dynamic Economic Behavioral Systems
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- Sofia B. Villas-Boas & Qiuzi Fu & George Judge, 2015.
"Is Benford’s Law a Universal Behavioral Theory?,"
Econometrics, MDPI, vol. 3(4), pages 1-11, October.
- Villas-Boas, Sofia & Fu, Qiuzi & Judge, George, 2015. "Is Benford's Law a Universal Behavioral Theory?," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt6x45h2fw, Department of Agricultural & Resource Economics, UC Berkeley.
- Judge, George, 2023. "Information Recovery in Complex Economic Systems," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt4jj70102, Department of Agricultural & Resource Economics, UC Berkeley.
- George Judge, 2018. "Micro-Macro Connected Stochastic Dynamic Economic Behavior Systems," Econometrics, MDPI, vol. 6(4), pages 1-14, December.
- Ellis Scharfenaker & Duncan Foley, 2017. "Maximum Entropy Estimation of Statistical Equilibrium in Economic Quantal Response Models," Working Papers 1710, New School for Social Research, Department of Economics, revised May 2017.
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Keywords
information-theoretic methods; adaptive behavior; causal entropy maximization; pure and stochastic inverse problems; binary network; dynamic economic systems;All these keywords.
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