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well-established self-learning algorithm) learns to profitably coordinate on either a fixed price or on asymmetric price …
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(SVM) model based on Monte Carlo simulation methods. The SVM modelincorporates the unobserved volatility as anexplanatory variable …
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We study the performance of alternative methods for calculating in-sample confidence and out of-sample forecast bands for time-varying parameters. The in-sample bands reflect parameter uncertainty only. The out-of-sample bands reflect both parameter uncertainty and innovation uncertainty. The...
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This paper introduces a novel simulation-based filtering method for general state space models. It allows for the …
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-called peer group games being non-negative additive games on a permission tree. We provide a polynomial time algorithm for …
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We examine recent claims that a particular Q-learning algorithm used by competitors 'autonomously' and systematically … detailed analysis of the inner workings of this algorithm reveals that there is no immediate reason for alarm. We set out what … is needed to demonstrate the existence of a colluding price algorithm that does form a threat to competition. …
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