Bayesian Modeling and Forecasting of Matrix-Valued Time Series
- \(\{ Y_t \in R^{n \times k} : t = 1, \ldots, T \}\): Variables x Regions
- New Challenge in Empirical Macroeconomics:
- Many macroeconomic variables show extreme movements after the COVID-19 pandemic
- Recent studies suggest addressing COVID-19 outliers in Bayesian VARs
- This project extends the issue into matrix-valued time series
- Central question: Can we forecast global economy during COVID-19 period?