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STATISTICAL PROBLEMS IN PARTICLE PHYSICS, ASTROPHYSICS AND COSMOLOGY
Proceedings of PHYSTAT05
Oxford, UK 12 - 15 September 2005
edited by Louis Lyons & Müge Karagöz Ünel (University of Oxford, UK)
Table of Contents (123k)
Preface (137k)
Chapter 1: Frequentist and Bayesian Statistics: A Critique (Keynote Address) (304k)
These proceedings comprise current statistical issues in analyzing data in particle physics, astrophysics and cosmology, as discussed at the PHYSTAT05 conference in Oxford. This is a continuation of the popular PHYSTAT series; previous meetings were held at CERN (2000), Fermilab (2000), Durham (2002) and Stanford (2003).
In-depth discussions on topical issues are presented by leading statisticians and research workers in their relevant fields. Included are invited reviews and contributed research papers presenting the latest, state-of-the-art techniques.
Contents:
- Bayes/Frequentist
- Goodness of Fit
- Likelihood/Parameter Estimation
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Nuisance Parameters/Limits/Discovery
- Machine Learning
- Software
- Visualisation
- Astrophysics
- Time Series
- Deconvolution
Readership: Graduate students and researchers in particle physics,
astrophysics, cosmology and statistics.
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Pub. date: May 2006 |
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