Minh-Ngoc Tran

Minh-Ngoc Tran is a Professor at The University of Sydney, affiliated with the Business School (BUS). His research interests include Financial econometrics, Cognitive and computational psychology, Statistics, and Machine learning. He is a Chief Investigator in the ARC Centre for Data Analytics for Resources and Environment (DARE) and a founding member of the Sydney Vietnam Institute (SVI). His work focuses on statistical methodology, particularly Bayesian computation and statistical machine learning, with applications in cognitive science, consumer behaviour, and financial econometrics. He has secured over $1 million in research funding and is a frequent speaker at national and international conferences. Tran is also recognized for his contributions to education and curriculum development within the Business School.

Minh-Ngoc Tran is a Professor of Statistics and Business Analytics at the University of Sydney, specializing in Bayesian Computation, Statistical Machine Learning, Financial Econometrics, and Experimental Psychology. His research focuses on developing efficient computational methods for Bayesian inference, including advancements in Markov Chain Monte Carlo (MCMC) techniques, variational Bayes, and subsampling approaches. He has contributed to the development of Bayesian Adaptive Lasso, Variational Bayes with intractable likelihood, and likelihood-free inference methods. His work also explores the application of machine learning in financial econometrics and the analysis of online discussions. Tran's research emphasizes practical implementations and theoretical foundations in statistical modeling and computational methods.