Rethinking the gold standard with multi-armed bandits : machine learning allocation algorithms for experiments
Chris Kaibel and Torsten Biemann
| Year of publication: |
2021
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|---|---|
| Authors: | Kaibel, Chris ; Biemann, Torsten |
| Published in: |
Organizational research methods : ORM. - London [u.a.] : Sage, ISSN 1552-7425, ZDB-ID 2029600-9. - Vol. 24.2021, 1, p. 78-103
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| Subject: | ethics in research | experiments | exploration versus exploitation | machine learning | multi-armed bandit | randomized controlled trial | Künstliche Intelligenz | Artificial intelligence | Theorie | Theory | Goldstandard | Gold standard | Algorithmus | Algorithm | Experiment |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1177/1094428119854153 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012391456