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We study how retailers can use data aggregation and clustering to improve demand prediction. High accuracy in demand … retail setting involves predicting demand for hundreds of items simultaneously. Although some items have a large amount of …. DAC allows us to predict demand while optimally identifying the features that should be estimated at the (i) item, (ii …
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In this chapter we discuss model selection and predictive accuracy tests in the context of parameter and model uncertainty under recursive and rolling estimation schemes. We begin by summarizing some recent theoretical findings, with particular emphasis on the construction of valid bootstrap...
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