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Found 5 papers, 0 papers with code
Improved prediction of future user activity in online A/B testing
In online randomized experiments or A/B tests, accurate predictions of participant inclusion rates are of paramount importance.
A Nonparametric Bayes Approach to Online Activity Prediction
We derive closed-form expressions for the number of new users expected in a given period, and a simple Monte Carlo algorithm targeting the posterior distribution of the number of days needed to attain a desired number of users; the latter is important for experimental planning.
Independent versus truncated finite approximations for Bayesian nonparametric inference
Bayesian nonparametric models based on completely random measures (CRMs) offers flexibility when the number of clusters or latent components in a data set is unknown.
Independent finite approximations for Bayesian nonparametric inference
We call our construction the automated independent finite approximation (AIFA).
Genomic variety prediction via Bayesian nonparametrics
We consider the case where scientists have already conducted a pilot study to reveal some variants in a genome and are contemplating a follow-up study.
