Factors models are commonly used to analyze high-dimensional data in both single-study and multi-study settings. Bayesian inference for such models relies on Markov chain Monte Carlo (MCMC) methods, w
A typical rule that has been used for the endorsement of new medications by the Food and Drug Administration is to have two trials, each convincing on its own, demonstrating effectiveness. “Convincing
BS: Bayesian Skyline plot; CS: constant population size; relaxed: relaxed molecular clock; strict: strict molecular clock Evidence against H0 (null) model is assessed in the following way; 0–6 indicat
Exploratory factor analysis is a dimension-reduction technique commonly used in psychology, finance, genomics, neuroscience, and economics. Advances in computational power have opened the door for ful