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University of Sydney
Fosters a love for lifelong learning.
Creates a safe and inclusive space.
Inspires confidence and independent thinking.
Inspires curiosity and a thirst for knowledge.
Great Professor!
Associate Professor Boris Choy is a prominent academic in the Discipline of Business Analytics at the University of Sydney Business School. He obtained his PhD in Statistics from Imperial College London, where he was supervised by Professor Sir Adrian Smith, a renowned Bayesian statistician and former Chief Scientific Adviser to the UK Government. Prior to his doctorate, Choy earned an MPhil in Statistics from the Chinese University of Hong Kong. He joined the University of Sydney Business School in July 2008 and has since advanced to the position of Associate Professor. In addition to his teaching and research duties, he serves as Co-Lead of the Time Series and Forecasting Research Group and as Deputy Head of Discipline (Research) for Business Analytics. Choy is also a qualified actuary, bringing practical expertise to his academic pursuits.
Choy's research specializations encompass Bayesian statistics, actuarial science, econometrics, time series analysis, and forecasting methodologies. His scholarly output has achieved significant impact, with over 2,057 citations on Google Scholar as of recent records. Key publications highlight his contributions to statistical modeling and robust inference. These include "On Robust Analysis of a Normal Location Parameter," co-authored with Adrian F. M. Smith and published in the Journal of the Royal Statistical Society: Series B (Statistical Methodology) in 1997; "Modelling Insurance Losses Using Contaminated Generalised Beta Type II Distribution," appearing in ASTIN Bulletin in 2018; "The a priori procedure (APP) for estimating median under skew distributions," in the Australian Journal of Experimental Biology in 2023; and "Bayesian stochastic frontier models under the skew-normal half-normal distribution," published in 2025. He has further contributed to areas such as survey mode effects and gain probability diagrams in hypothesis testing. Choy has chaired or co-chaired several Time Series and Forecasting symposia hosted by the University of Sydney and implemented innovative peer learning groups in courses like QBUS5001 Quantitative Business Analysis, enhancing student engagement and outcomes.
Professional Email: boris.choy@sydney.edu.au