Conference subject areas include a wide range of topics ranging from linear statistical models to their applications, including (but not limited to):
- Methodology for high-dimensional data
- Algebraic methods in multivariate analysis
- Estimation, prediction and testing
- Robustness of relevant statistical methods
- Statistical inference in mixed linear models
- Design and analysis of experiments, including optimality and comparison of linear experiments
- Applications of matrix methods in statistics
- Small area estimation models
- Ordered statisitcs
- Statistics in applications
- Model selection methods
- Matrix-variate distributions