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2011 | OriginalPaper | Chapter

Computational Results and Evaluation

Author : Steffen Christ

Published in: Operationalizing Dynamic Pricing Models

Publisher: Gabler

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Following the introduction of the Bayesian self-learning forecasting scheme underlying this work (see previous Chapters 4 – 6), this chapter now provides the computational results and takes a look at the overall predictive performance of the model in Section 7.1 as well as its sensitivity to using informative priors, changing learning window sizes and different forecast granularities in Section 7.2.

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Metadata
Title
Computational Results and Evaluation
Author
Steffen Christ
Copyright Year
2011
Publisher
Gabler
Book
Operationalizing Dynamic Pricing Models

Print ISBN: 978-3-8349-2749-1

Electronic ISBN: 978-3-8349-6184-6

Copyright Year: 2011

DOI
https://doi.org/10.1007/978-3-8349-6184-6_7