James Yu is a PhD student under CI Distinguished Professor Matt Wand at the University of Technology Sydney. His work focuses on variational inference methods as well as their application in health science.
Research Interests:
Approximate Bayesian Computation
Variational Inference Methods
Qualifications:
Bachelor of Medical Science
Graduate Certificate of Mathematics
Master of Science Majoring in Mathematical and Statistical Modelling with Honours
Recently, Chief investigator Wand and his has group published Kim & Wand (2016, Electronic Journal of Statistics), Wand (2017, Journal of American Statistical Association) and Nolan & Wand (2017, Stat) on message passing approaches to semiparametric regression analysis.
