معرفی
Associate Professor Michael Stewart is affiliated with the Faculty of Science at the University of Sydney, specializing in statistical modeling and computational statistics. His research focuses on mixture models, extremes of stochastic processes, and feature selection for data analysis.
- Mixture Models
- Extremes of Stochastic Processes
- Density Estimation
- Feature Selection
Michael's recent work explores Bayesian hypothesis testing with diffuse priors, sparse gamma scale mixture detection, and variational discriminant analysis. His research aligns with the Faculty of Science's focus on data and decisions, precision health, and complex systems.
His applications span environmental science (soil microbiology), public health (HIV treatment efficacy, firearm policy), and computational statistics. Michael supervises PhD student Hao CHEN and has contributed to interdisciplinary projects in mathematics, health, and ecology.
- Grant: Exploring relationships in day-to-day data (2016)
- Grant: Multiscale protein identification methods (2008)
Michael's publications reflect collaborations in environmental science, biostatistics, and statistical software development. He has advised students in statistical methodologies and applied research.
