Regression Analysis
Statistical modelling, estimation, inference, diagnostics, and interpretation.
Teaching
Courses taught at the intersection of statistical theory, modelling, and computation.
Statistical modelling, estimation, inference, diagnostics, and interpretation.
Methods for modelling dependence over time, forecasting, and assessing temporal structure.
Reproducible statistical computing, data analysis, visualization, and reporting with R.
MTH 689A
Theory and applications of linear models and extensions to non-linear settings.