most citedDynamic Pricing and Learning with Competition: Insights from the Dynamic Pricing Challenge at the 2017 INFORMS RM & Pricing Conference

12 citations · 37 across the 5 of their papers we have counts for

collaborators

5 papers

q-fin.GN2018★ 12 cited

Dynamic Pricing and Learning with Competition: Insights from the Dynamic Pricing Challenge at the 2017 INFORMS RM & Pricing Conference

Ruben van de Geer, Arnoud V. den Boer, Christopher Bayliss +10

This paper presents the results of the Dynamic Pricing Challenge, held on the occasion of the 17th INFORMS Revenue Management and Pricing Section Conference on June 29-30, 2017 in…

math.OC2017★ 3 cited

A comparison of control strategies applied to a pricing problem in retail

Asbjørn N. Riseth, Jeff N. Dewynne, Chris L. Farmer

When sales of a product are affected by randomness in demand, retailers can use dynamic pricing strategies to maximise their profits. In this article the pricing problem is formula…

math.OC2017★ 3 cited

Objective acceleration for unconstrained optimization

Asbjørn Nilsen Riseth

Acceleration schemes can dramatically improve existing optimization procedures. In most of the work on these schemes, such as nonlinear Generalized Minimal Residual (N-GMRES), acce…

math.OC2017★ 7 cited

Dynamic pricing in retail with diffusion process demand

Asbjørn Nilsen Riseth

When randomness in demand affects the sales of a product, retailers use dynamic pricing strategies to maximize their profits. In this article, we formulate the pricing problem as a…

math.ST2017★ 12 cited

Operator Fitting for Parameter Estimation of Stochastic Differential Equations

Asbjørn N. Riseth, Jake P. Taylor-King

Estimation of parameters is a crucial part of model development. When models are deterministic, one can minimise the fitting error; for stochastic systems one must be more careful.…