Georgi Boshnakov - Department of Mathematics

Time series analysis and forecasting, Data analysis, Sports modelling, Statistical computing, Matrices in statistics, Symbolic computation.

List of publications

Packages and other resources created by me (some with collaborators). I reently started an experimental blog Georgi's musings on R, Emacs, Computing.

I mainly offer projects which fall under the umbrella of time series analysis, statistical computing, dynamic models (linear and non-linear) and prediction (especially distributional and probability forecasting). Application areas change over time and sometimes are influenced by recent industrial consultancies or similar involvements. One such area on which I am currently actively working is the development of dynamic models for prediction of sporting events (including in-play). For other topics in statistics and probability (usually motivated by my research on time series) see my recent publications and research reports.

Strong mathematical and computational background is required.

I offer mainly projects on topics in time series and statistical computing. The projects require background in time series and in most cases this means that students should do (or have done) a time series or similar course.

MMath students wishing to do such projects in their 4th year will improve their prospects by planning ahead and taking the time series course (MATH38032 or MATH48032) in their 3rd year. Strong students are encouraged to contact me about projects related to my research.

1st and 2nd year students reading this section and planning their options should notice that the Statistical methods course in 2nd Sem/2nd year is a prerequisite for (essentially) all subsequent statistics courses. Practical statistics I is a big plus too.

Recent workshops co-organised by me:

• Maurice Priestley commemoration day
• New Developments In Time Series and Spatio-Temporal Analysis