Mervyn J Silvapulle is a professor in the Department of Econometrics and Business Statistics.
His academic qualifications include B.Sc.(Honours) in mathematics, and PhD in statistics.
His broad research interest is econometric and statistical methodology. Mervyn’s current research interests include constrained statistical inference, GARCH models, and extreme value theory. In the past, he has also researched in other areas, including robust statistics, generalized linear models, ridge regression, and minimum distance methods of inference.
He has served as editor (theory and methods) of the Australian and New Zealand Journal of Statistics, guest editor for a special issue of the Journal of Statistical Planning and Inference on constrained statistical inference, guest editor for a collections volume published by the Institute of Mathematical Statistics, associate editor for the Journal of Statistical Planning and Inference, and associate editor for Sankhya
