Weak aggregating algorithm for the distribution-free perishable inventory problem |
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| Authors: | Tatsiana Levina Vladimir Vovk |
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| Affiliation: | a School of Business, Queen’s University, 143 Union St., Kingston, ON, K7L 3N6, Canadab Department of Computer Science, Royal Holloway, University of London, Egham, Surrey TW20 0EX, UK |
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| Abstract: | We formulate the multiperiod, distribution-free perishable inventory problem as a problem of prediction with expert advice and apply an online learning method (the Weak Aggregating Algorithm) to solve it. We show that the asymptotic average performance of this method is as good as that of any time-dependent stocking rule in a given parametric class. |
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| Keywords: | Online learning Newsvendor problem Aggregating algorithm |
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