Michael Smith has held the Chair of Management in Econometrics at the University of Melbourne since 2007. He is a leading researcher in Bayesian statistics, econometrics and business analytics, and is located at the Melbourne Business School.
Michael completed his PhD at the Australian Graduate School of Management at the University of New South Wales. Prior to joining Melbourne, he held positions at Monash University and the University of Sydney. He has also held visiting positions at Ludwig Maximilians University in Munich, the Wharton School at the University of Pennsylvania, McCombs School of Business at the University of Texas and London Business School. Past major awards include an Alexander von Humboldt fellowship and an Australian Research Council Future Fellowship. Michael’s research focuses on developing methods for the analysis of large and complex datasets that arise in business, economics and elsewhere. On the methodological side, he has worked on Bayesian algorithms, spatial and time series analysis and multivariate modelling. On the applied side, he has worked on marketing models for advertising effectiveness and consumer response, neuroimaging, and macroeconomic and business forecasting. He has a long-standing interest in the electricity markets, including the modelling and forecasting of demand and spot prices.Michael’s research has been published extensively in the leading academic journals in statistics, econometrics, marketing and forecasting. Michael has taught courses in econometrics, statistics, decision sciences and business analytics at all levels – from undergraduate to PhD level. At Melbourne he currently teaches Data Analysis on the part-time MBA and Financial Analytics in the Master of Business Analytics. He also has experience in executive education and training for corporate clients.
Find out more about Michael Smith's experience
Michael Smith's highlights
Michael Smith's selected work
Bayesian Copula Modelling Of Multivariate Dependence: Getting To Grips With Data That Is F..
Variational Bayes Estimation of Discrete-Margined Copula Models With Application to Time S..
Displaying the 5 most recent projects by Michael Smith.
Internal Research Grant
Displaying the 41 most recent scholarly works by Michael Smith.
Whether, when and which: Modelling advanced seat reservations by airline passengers
S Shao, G Kauermann, MS Smith
Journal article | 2020 | Transportation Research Part A: Policy and Practice
Motivated by the growing importance of ancillary revenues in the airline industry, we propose a statistical model for Advanced Sea..
Variational Bayes Estimation of Discrete-Margined Copula Models With Application to Time Series
Ruben Loaiza-Maya, Michael Stanley Smith
Journal article | 2019 | Journal of Computational and Graphical Statistics
We propose a new variational Bayes (VB) estimator for high-dimensional copulas with discrete, or a combination of discrete and con..
Doctor of Philosophy
The University of New South Wales
University of New South Wales
Bachelor of Arts (1st Honours)
The University of Western Australia