Bulletin of the Japan Society for Industrial and Applied Mathematics
Online ISSN : 2432-1982
Invited Papers
Optimistic Bias in Mathematical Programming Based on Prediction
Shinji ItoAkihiro YabeRyohei Fujimaki
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2018 Volume 28 Issue 4 Pages 7-14

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Abstract

This paper deals with mathematical programming based on predictive model. Prediction-based mathematical programming suffers from the problem that the calculated optimal value is biased in the direction suggesting optimistic results. This paper investigates this optimistic bias, and introduces two methods for correcting the bias.

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© 2018 by The Japan Society for Industrial and Applied Mathematics
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