When: 13 – 16 September 2022
Where: Geophysical Institute at UiB, Bergen
Credit: 1 ECTS
Course lecturers: Prof David Stephenson and Dr Stefan Siegert from University of Exeter
(Registration deadline: 26 August)
Course description
This is a 4-day intensive course on statistical modelling concepts for climate scientists. Since it is impossible in such a short course to go into any great depth, this course aims instead to convey the fundamental modelling concepts in statistics and an understanding and ability of how to use them correctly to interpret climate data. The course will consist of eight lectures interspersed with multiple hands-on computer sessions.
Prerequisite: Participants are expected to have some knowledge of statistics and experience in using R.
Learning Outcomes
- Deeper appreciation of statistical modelling
- Awareness of some relevant areas of advanced statistics
- Ability to apply methods intelligently using the R statistical language
Programme
| Tuesday 13 September | ||
| 09:00-09:30 | 1. Introduction | (Prof David Stephenson) |
| 09:30-09:45 | Coffee break | |
| 09:45-11:00 | 2. Probability | (Dr Stefan Siegert) |
| 11:00-12:15 | Interactive R session | |
| 12:15-13:15 | Lunch | |
| 13:15-14:30 | 3. Statistical Modelling | (Prof David Stephenson) |
| 14:30-15:45 | Interactive R session | |
| 15:45 | Ice breaker with snacks and drinks | |
| Wednesday 14 September | ||
| 09:00-10:15 | 4. Statistical Inference | (Dr Stefan Siegert) |
| 10:15-10:45 | Coffee break | |
| 10:45-12:00 | Interactive R session | |
| 12:00-13:00 | Lunch | |
| 13:00-14:15 | 5. Multivariate Statistics | (Prof David Stephenson) |
| 14:15-15:30 | Interactive R session | |
| Thursday 15 September | ||
| 09:00-10:15 | 6. Spatial Statistics | (Dr Stefan Siegert) |
| 10:15-10:45 | Coffee break | |
| 10:45-12:00 | Interactive R session | |
| 12:00-13:00 | Lunch | |
| 13:00-14:15 | 7. Time series modelling | (Dr Stefan Siegert) |
| 14:15-15:30 | Interactive R session | |
| Friday 16 September | ||
| 09:00-10:15 | 8. Extreme value modelling | (Prof David Stephenson) |
| 10:15-10:45 | Coffee break | |
| 10:45-12:00 | Interactive R session and final discussion | |
| 12:00-13:00 | Lunch | |
Useful references
R Language (free download, documentation, etc.)
Lecture notes on basic statistical concepts:
http://secamlocal.ex.ac.uk/people/staff/dbs202/cag/courses/MT37C/course-d.pdf
Daniel S. Wilks, Statistical Methods in the Atmospheric Sciences, 3rd edition.
Faraway, J. (2004) Linear Models with R, Chapman and Hall/CRC, 240pp.
Draper NR, Smith H. Applied Regression Analysis (3rd edition). New York: Wiley 1998.
A.C. Davison, Statistical Models, Cambridge University Press 2003.
M.J. Crawley, Statistics: An Introduction Using R, Wiley and Sons 2005.
Chatfield, The Analysis of Time-series: An Introduction, CRC press, 6th edition 2003.
Chatfield, Time series forecasting, Chapman and Hall/CRC press, 2000.
Bloomfield, Fourier Analysis of Time Series: An Introduction (Wiley Series in Probability & Statistics), 2000.
Coles, An Introduction to Statistical Modelling of Extreme Values, 224 pages, Springer, 2001.