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Estimation of the Pareto tail index from extreme order statistics is an important problem in many settings. The upper tail of the distribution, where data are sparse, is typically fitted with a model, such as the Pareto model, from which quantities such as probabilities associated with extreme...
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in the verifiable information to adjust the theory overhead. We have passed on our proposed work in an open source cloud …
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a forecast accuracy based allocation policy, where the supplier allocates (proportionally) more inventory to the buyer …
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We consider a retailer investing in two monitoring functions for unobservable demand and salesperson's effort. We show that improving effort monitoring is more effective. Moreover, demand monitoring may be less preferable when it becomes relatively cheaper and balancing these two may be worse...
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For online resource allocation problems, we propose a new demand arrival model where the sequence of arrivals contains … proposed model, we study the problem of the online allocation of a single resource to two types of customers, and design online … highlights the value of (even partial) predictability in online resource allocation. We impose no conditions on how the resource …
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