Kelly Trinh

My research focuses on Bayesian statistics, machine learning, dimension reduction techniques, and time-varying parameter models. I have a strong interest in developing methodology statistical analysis and machine learning algorithms in applied research areas.

Methodology research:

- Bayesian time series analysis

- Machine learning and neural network in time series

- High dimensional modelling

- Modelling uncertainties

- Spatial analysis and point pattern analysis

Applied research

- Macroeconomic (forecasting and understanding impacts of economic uncertainities, policies on an economy)

- Economic Health

- Economic geography

- Health application

Grants:

- "Emergency departmnet waiting time prediction in real-time" funded by the Emergency Medicine Foundation, $36,733 https://emergencyfoundation.org.au/projects/emergency-department-waiting-time-predictions-in-real-time/