Research areas

Model selection; Robust statistics; Spatial statistics; Graphical lasso; Mortality forecasting.

Biography

Le Chang is a Senior Lecturer in Statistics.  His research relates to robust penalized regression and model averaging methods, with specific research foci including principal component analysis, clustering methods, spatio-temporal models, graphical lasso, mortality forecasting and other statistical applications to actuarial science. Le’s work has been published in highly-regarded outlets including Journal of Computational and Graphical Statistics, Technometrics, Scandinavian Actuarial Journal and ASTIN Bulletin.

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Publications

Please see Le's Google Scholar

Teaching

Regression Modelling  (STAT2008/6038)

Financial Mathematics (STAT2032/6046)

Principles of Mathematical Statistics (STAT 6039)

Survival Models (STAT3032/7042)