Eric Eisenstat received his Ph.D. in 2007 from the University of California, Irvine. His current research focuses on Bayesian time-series econometrics, particularly structural inference from multivariate models, but he also works on model uncertainty/averaging and shrinkage estimation in big data settings. Alongside publishing in top academic journals, Eric also routinely provides consulting services to policy institutions and private organisations. His recent consulting work has focused on developing and implementing marketing mix models in big data settings.
Rodney Strachan received his PhD from Monash University in 2000. His research focuses on Bayesian analysis, econometric theory, time series analysis, inference in time varying parameter and time varying dimension models, identification in reduced rank models and invariance. His current work is looking at specification and computation of large dimensional macroeconometric time series models. Rodney came to UQ from the Australian National University where he was a professor and the deputy head of the Research School of Economics.
