The article discusses how Bayesian methods are used to analyze complex economic models called DSGE models. Researchers use these methods to estimate and evaluate these models by comparing them to real-world data and other types of models. They look at both linear and non-linear models to see how well they fit the data. The findings show that Bayesian methods can help determine if a DSGE model is correctly specified or needs adjustments to better match real-world outcomes.