Improved theory and practice in econometric modelling of nonlinear spatial time series. Modern Australia faces many challenges in economic and global climate changes, which require advanced statistical technologies in modeling and forecasting of econometric spatial time series data. This project will provide flexible models and methods that enable practitioners to more accurately measure and manage economic and climatic risks.
Challenging econometric issues in nonlinear high-dimensional spatio-temporal prediction: theory and applications. This project will develop cutting-edge methodologies to break through challenging issues in nonlinear spatio-temporal econometric prediction. It will yield a new generation of prediction tools that enpower practitioners in Australia to produce more accurate forecasts, with more informed countermeasures to viarious economic and enviromental risks.