Michael Smith has been the Chair of Management (Econometrics) at Melbourne Business School since 2007, and between 2012 and 2016 is also an Australian Future Fellow. He has held visiting positions at the University of Munich, The Wharton School at the University of Pennsylvania, the McCombs School of Business at the University of Texas and London Business School.
Michael's research involves the development of Bayesian methodology, along with econometric modelling and forecasting. He is prominent internationally for his early work on Bayesian semiparametric smoothing and model averaging in cross-sectional, spatial and time series context- much of which was used on large dataset arising in business and economics. His more recent work has involved the development of methods for the analysis of multivariate data using copula models, and their application to important business problems.
His research has appeared widely in the top academic journals in econometrics, statistics, marketing and elsewhere. He has taught courses in econometrics, statistics, decision sciences and business analytics at all levels- including undergraduate, postgraduate levels and specialised PhD level courses. At the Melbourne Business School he has taught into the MBA, Executive MBA and Executive education programs.
He also has a long-standing interest in econometric problems arising in the energy sector, including the modeling and forecasting of both demand and spot prices within deregulated wholesale electricity markets.
His publications can be found at http://works.bepress.com/michael_smith/