Linear regression for uplift modeling

DOI10.1007/S10618-018-0576-8zbMath1411.68120OpenAlexW2810972217WikidataQ129603788 ScholiaQ129603788MaRDI QIDQ1741425

Krzysztof Rudaś, Szymon Jaroszewicz

Publication date: 3 May 2019

Published in: Data Mining and Knowledge Discovery (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10618-018-0576-8

zbMATH Keywords

linear regressioncausal discoveryuplift modeling

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (3)

Exploring uplift modeling with high class imbalance ⋮ Response transformation and profit decomposition for revenue uplift modeling ⋮ Continuous treatment effect estimation via generative adversarial de-confounding

Uses Software

• TETRAD

Cites Work

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• Causation, prediction, and search
• Subsampling
• Statistics and Causal Inference
• Correcting for non-compliance in randomized trials using structural nested mean models
• Causal Inference for Statistics, Social, and Biomedical Sciences

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