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Bayesian Sample Size Prediction for Online Activity. (arXiv:2111.12157v2 [stat.ML] UPDATED)
Web: http://arxiv.org/abs/2111.12157
May 9, 2022, 1:10 a.m. | Thomas Richardson, Yu Liu, James McQueen, Doug Hains
stat.ML updates on arXiv.org arxiv.org
In many contexts it is useful to predict the number of individuals in some
population who will initiate a particular activity during a given period. For
example, the number of users who will install a software update, the number of
customers who will use a new feature on a website or who will participate in an
A/B test. In practical settings, there is heterogeneity amongst individuals
with regard to the distribution of time until they will initiate.
For these reasons …
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