Informed Bayesian Inference for the A/B Test (Record no. 712)

000 -LEADER
fixed length control field 01382nam a2200169 a 4500
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control field 20260901030414.0
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fixed length control field 250101s2019 xx o 000 0 eng d
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Personal name Quentin F. Gronau
245 10 - TITLE STATEMENT
Title Informed Bayesian Inference for the A/B Test
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Name of producer, publisher, distributor, manufacturer arXiv
Date of production, publication, distribution, manufacture, or copyright notice 2019
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Content type term text
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Carrier type term online resource
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Summary, etc. Booming in business and a staple analysis in medical trials, the A/B test assesses the effect of an intervention or treatment by comparing its success rate with that of a control condition. Across many practical applications, it is desirable that (1) evidence can be obtained in favor of the null hypothesis that the treatment is ineffective; (2) evidence can be monitored as the data accumulate; (3) expert prior knowledge can be taken into account. Most existing approaches do not fulfill these desiderata. Here we describe a Bayesian A/B procedure based on Kass and Vaidyanathan (1992) that allows one to monitor the evidence for the hypotheses that the treatment has either a positive effect, a negative effect, or, crucially, no effect. Furthermore, this approach enables one to incorporate expert knowledge about the relative prior plausibility of the rival hypotheses and about the expected si
506 0# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Open access — freely available to read.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://arxiv.org/pdf/1905.02068v6">https://arxiv.org/pdf/1905.02068v6</a>
Link text Read the full paper (PDF)
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Electronic resource (link)
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      Available online General Yegates University Library Yegates University Library Science and Computing 09/01/2026   YGE000973 09/01/2026 https://arxiv.org/pdf/1905.02068v6 09/01/2026 Research paper — read online