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- W2920492183 abstract "Bayes factors, in many cases, have been proven to bridge the classic -value based significance testing and bayesian analysis of posterior odds. This paper discusses this phenomena within the binomial A/B testing setup (applicable for example to conversion testing). It is shown that the bayes factor is controlled by the emph{Jensen-Shannon divergence} of success ratios in two tested groups, which can be further bounded by the Welch statistic. As a result, bayesian sample bounds almost match frequentionist's sample bounds. The link between Jensen-Shannon divergence and Welch's test as well as the derivation are an elegant application of tools from information geometry." @default.
- W2920492183 created "2019-03-11" @default.
- W2920492183 creator A5011993100 @default.
- W2920492183 date "2019-02-28" @default.
- W2920492183 modified "2023-09-27" @default.
- W2920492183 title "Bounds on Bayes Factors for Binomial A/B Testing." @default.
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