Bayesian factor analysis offers a probabilistic framework for uncovering latent structure in datasets where the number of observed variables greatly exceeds the sample size. By positing that ...

Bayesian statistical models have become indispensable for analysing data with more predictors than observations, a scenario often termed “large p, small n.” By incorporating prior information, these ...

When estimating DSGE models, the number of observable economic variables is usually kept small, and it is conveniently assumed that DSGE model variables are perfectly measured by a single data series.