Ensemble learning from model based trees with application to differential price sensitivity assessment

DOI10.1016/j.ins.2020.12.039zbMath1489.91106OpenAlexW3116033035MaRDI QIDQ2127069

Jorge M. Arevalillo

Publication date: 19 April 2022

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2020.12.039

zbMATH Keywords

revenue managementensemble learningmodel-based recursive partitioningdifferential price sensitivity

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Microeconomic theory (price theory and economic markets) (91B24)

Related Items (1)

A random approximate reduct-based ensemble learning approach and its application in software defect prediction

Uses Software

• partykit
• randomForest

Cites Work

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• Bagging predictors
• Consumer price sensitivity in the retail industry: latitude of acceptance with heterogeneous demand
• A survey of personalized treatment models for pricing strategies in insurance
• Generalized M‐fluctuation tests for parameter instability
• Fifty Years of Classification and Regression Trees
• Random forests

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