Statistical Data Analysis for
Glen Cowan, Physics Department,
Royal Holloway, University of London, e-mail: email@example.com
Dates and times: April 12 to 16, 2010; lectures 9:00 to 11:00;
computer exercises at 14:00.
The lectures will present an introduction to statistical methods
as used in High Energy Physics. The topics will include:
Lecture Notes (approx. by day and still evolving):
The lectures follow on from a course
at the University of London. The complete set of lecture notes for
that course plus other resources can be found here.
- Monday: Review of probability, Monte Carlo, parameter
- Tuesday: Multivariate methods (I). Event selection
as a statistical test, cut-based, linear and neural network classifiers.
- Wednesday: Multivariate methods (II). Probability densitiy
estimation methods, boosted decision trees, support vector machines.
- Thursday: Significance tests for discovery and limits.
Profile likelihood methods for systematic uncertainties.
- Friday: Bayesian methods. Parameter estimation,
marginalization with MCMC, Bayesian model selection.
Problem sheets: Here are the statistics exercises used for the
London course (problem sheets 1 to 3 were on computing).
We will select from these:
- G. Cowan, Statistical Data Analysis, Clarendon Press, Oxford, 1998.
- R.J.Barlow, A Guide to the Use of Statistical Methods in the Physical
Sciences, John Wiley, 1989;
- Frederick James, Statistical Methods in Experimental Physics, 2nd Edition,
World Scientific, 2006;
- S.Brandt, Statistical and Computational Methods in Data
Analysis, Springer, New York, 1998;
- L.Lyons, Statistics for Nuclear and Particle Physics, CUP, 1986.
You can also download the sections on
(pdf files) from the Review of Particle Physics by the
Particle Data Group.