55 citations · 65 across the 3 of their papers we have counts for
3 papers · 1 filter
BFpack: Flexible Bayes Factor Testing of Scientific Theories in R
Joris Mulder, Xin Gu, Anton Olsson-Collentine +10
There has been a tremendous methodological development of Bayes factors for hypothesis testing in the social and behavioral sciences, and related fields. This development is due to…
Many perspectives on Deborah Mayo's "Statistical Inference as Severe Testing: How to Get Beyond the Statistics Wars"
Andrew Gelman, Brian Haig, Christian Hennig +8
The new book by philosopher Deborah Mayo is relevant to data science for topical reasons, as she takes various controversial positions regarding hypothesis testing and statistical…
Informed Bayesian Inference for the A/B Test
Quentin F. Gronau, K. N. Akash Raj, Eric-Jan Wagenmakers
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 c…