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We develop a new way to incorporate prior information within an Information-Theoretic (IT) estimation framework. The estimator considers many potential priors and uses a simple statistic to choose the optimal solution. Our method outperforms its competitors for all finite data.
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A monopoly that sells to brand-name loyal customers and to price-sensitive customers must decide whether to carry both name-brand and private-label products and how much to charge. The monopoly may charge either more or less for the brand name if it carries a private label, and the price...
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