After Bayes, the oldest Bayesian account of enumerative induction is giv...
The delayed and incomplete availability of historical findings and the l...
Bayesian model-averaged meta-analysis allows quantification of evidence ...
Publication selection bias undermines the systematic accumulation of
evi...
The ongoing replication crisis in science has increased interest in the
...
We present a novel and easy to use method for calibrating error-rate bas...
Null hypothesis statistical significance testing (NHST) is the dominant
...
Power priors are used for incorporating historical data in Bayesian anal...
We outline an approximation to informed Bayes factors for a focal parame...
The Jeffreys-Lindley paradox exposes a rift between Bayesian and frequen...
We outline a Bayesian model-averaged meta-analysis for standardized mean...
Testing the equality of two proportions is a common procedure in science...
A perennial objection against Bayes factor point-null hypothesis tests i...
Testing the (in)equality of variances is an important problem in many
st...
There has been a tremendous methodological development of Bayes factors ...
Booming in business and a staple analysis in medical trials, the A/B tes...
Current developments in the statistics community suggest that modern
sta...
Bayesian inference for rank-order problems is frustrated by the absence ...
Statistical procedures such as Bayes factor model selection and Bayesian...