Teaching

2009-10

Statistical Methods (MSc Applied Statistics) - introduction to probability, statistical estimation, hypothesis testing, ANOVA, linear regression and analysis of contingency tables. Ideas are illustrated using Excel - spreadsheets can be found here.

Statistical Inference (MSc Applied Statistics) - introduction to statistical models and the use of likelihood inference in parameter estimation. Ideas are illustrated using Excel - spreadsheets can be found here.

2008-09

Statistical Inference (MSc Applied Statistics) - introduction to statistical models and the use of likelihood inference in parameter estimation. Ideas are illustrated using Excel.

Extremes (MSc Statistics) - statistical models for extreme values, including asymptotic motivation, using R.

Missing Data (MSc Applied Statistics) - introduction to the problems faced with missing values and methods of imputations, the EM algorithm and data augmentation, using SAS and WinBUGS.

Supervision

MSc Dissertations

Carolynn Gildea 2009

Sotirios Koukoulas 2009

PhD

Ioannis Papastathopoulos (joint with Jonathan Tawn) 2009-