Commentary.

The article presents the author's perspectives on the study by Lars Svensson and Noah Williams on addressing uncertainty in optimal monetary policy through experimentation using Markov jump linear-quadratic control algorithms in the U.S. He remarks that the study is an important contribution in analyzing Bayesian optimal monetary policy in an environment in which the central bank faces a set of competing models to update its probability assessments of the actual economic model.