We develop an efficient sampling approach for handling complex missing d...
Large Bayesian vector autoregressions with various forms of stochastic
v...
Time-varying parameter VARs with stochastic volatility are routinely use...
State-space mixed-frequency vector autoregressions are now widely used f...
Many popular specifications for Vector Autoregressions (VARs) with
multi...
Large Bayesian VARs are now widely used in empirical macroeconomics. One...
We propose a new quadratic-programming-based method of approximating a
n...