Web: http://arxiv.org/abs/2205.01875

May 5, 2022, 1:10 a.m. | Ravi Kumar, Shahin Boluki, Karl Isler, Jonas Rauch, Darius Walczak

stat.ML updates on arXiv.org arxiv.org

We consider the problem of dynamic pricing of a product in the presence of
feature-dependent price sensitivity. Based on the Poisson semi-parametric
approach, we construct a flexible yet interpretable demand model where the
price related part is parametric while the remaining (nuisance) part of the
model is non-parametric and can be modeled via sophisticated ML techniques. The
estimation of price-sensitivity parameters of this model via direct one-stage
regression techniques may lead to biased estimates. We propose a two-stage
estimation methodology …

application arxiv framework learning machine machine learning ml price pricing

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