This paper reviews recent advances in the specification and estimation of Bayesian Vector Autoregressive models (BVARs). After describing the Bayesian principle of estimation, we first present the ...
The analysis of nonstationary time series under a Bayesian paradigm integrates prior knowledge with flexible probability models to capture evolving dynamics. Unlike stationary processes, whose ...