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Algorithmic advancements in the practice of revenue management

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Academic year: 2021

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Figure 1-1: Rank validation, analysis of different metrics for varying rank of additive utility.
Figure 1-2: In sample accuracy at different stages of the estimation: CNL estimated from MLE, CNL-B bootstrapped model, CNL-B20 with additional rank 20 denoised residual highlighted as our final model, CNL-R with total residual.
Table 2.1: Ranges of relative improvements (in %) of Q -modified PEQs over original PEQs, for the base case of synthetic product data, for varying parameters
Figure 2-1: Relative improvement for the base case of synthetic product data, for varying T of:
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