Title: "Marginal Estimation + Price Optimization" Framework for Data Driven Pricing Problem

報(bào)告人: Zhenzhen Yan 博士 新加坡國(guó)立大學(xué)決策科學(xué)系

時(shí)間: 2017年7月22日上午9：00開(kāi)始

地點(diǎn): bwin必贏唯一官網(wǎng)313教室

Abstract:

We develop an estimation and optimization framework for the multi-productpricing problem by exploiting the properties of the marginal distributions of the random utilities in discrete choice models. We use this approach to address partially the problem of modelidentification in choice modeling. Instead of presupposing the structural formsof the consumer's utility functions, we use experimentation to guide us to theappropriate marginal distribution models for the pricing problems. Morespecifically, we develop a data-driven linear program to estimate the marginaldistributions from a set of price experiments and  to find the optimal prices. Mixed IntegerLinear Programming models can be used to find the prices when side constraintsare present. Tests using both simulated data and real data from the automobileindustry illustrates the benefits of the "Marginal Estimation + PriceOptimization" approach.

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