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algorithm to construct optimal experimental designs, assuming the multinomial logit model is used to analyze the choice data. To …
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The mixed logit choice model has become the common standard to analyze transport behavior. Efficient design of the corresponding choice experiments is therefore indispensable to obtain precise knowledge of travelers' preferences. Accounting for the individual specific coefficients in the model,...
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Motivated by online retail applications, we study the online personalized assortment optimization problem. A seller conducts sales by offering assortments of products to a stream of arriving customers. The customers' purchase behavior follows their respective personalized Multinomial Logit...
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A divide and conquer algorithm for exploiting policy function monotonicity is proposed and analyzed. To solve a … discrete problem with n states and n choices, the algorithm requires at most nlog2(n)+5n objective function evaluations. In … technique can be combined with a method exploiting concavity to reduce evaluations to 14n+2log2(n). A version of the algorithm …
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