A Methodological Note on the Estimation of Programming Models [PDF]
The paper introduces a general methodological approach for the estimation of constrained optimisation models in agricultural supply analysis. It is based on optimality conditions of the desired programming model and shows a conceptual advantage compared ...
Heckelei, Thomas, Wolff, Hendrik
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Fair allocation strategies for opioid settlements. [PDF]
Chen Q, Newton R, Griffin P.
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Aspects of a Phase Transition in High-Dimensional Random Geometry. [PDF]
PrĂ¼ser A, Kondor I, Engel A.
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A Systematic Intelligent Optimization Framework for a Sustained-Release Formulation Design. [PDF]
Qiao Y +9 more
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Multi-Agent Reinforcement Learning in Games: Research and Applications. [PDF]
Li H +5 more
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Generalization of minimax and maximin criteria in a game against nature for the case of a partial a priori uncertainty. [PDF]
Ulansky V, Raza A.
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"Minimax Empirical Bayes Ridge-Principal Component Regression Estimators" [PDF]
In this paper, we consider the problem of estimating the regression parameters in a multiple linear regression model with design matrix A when the multicollinearity is present.
Tatsuya Kubokawa, M. S. Srivastava
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An Improved Artificial Bee Colony Algorithm with a Probabilistic Crossover and Lock Mechanism. [PDF]
Haber Z, Uguz H, Hakli H.
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Minimax regret and strategic uncertainty [PDF]
This paper introduces a new solution concept, a minimax regret equilibrium, which allows for the possibility that players are uncertain about the rationality and conjectures of their opponents. We provide several applications of our concept.
Karl Schlag, Ludovic Renou
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Multi-Objective White Shark Optimizer for Global Optimization and Rural Sports-Facilities Location Problem. [PDF]
Zheng Y, Guo B, Zhou Y.
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