Closing words:
- Thank you for participating in the school!
- You have been an admirable and most attentive/responsive as well as patient audience!
- Thanks to Roger, Glen, Tilman, Frank, Lydia and Kevin for their great Lectures and/or Tutorials! (Great stuff!)
- Thanks to the local orga team:
- our secretary, Inna, for the flawless/perfect administration of the school
- Andreas, Isabell (general managers of the Terascale Schools) and Dirk
- Thanks to Sara, Dirk, Louis and Kuan for their support of the Python tutorials!
Please fill out/submit the survey: https://indico.desy.de/event/46667/surveys/
FInal statistics lesson: what distinguishes statisticians from other scientists?
Finally: have a safe trip back home and hope to see you sometimes again at DESY (e.g. for another Terascale schoolor workshop) or elsewhere!
This course focuses on statistical methods in particle physics. It is primarily designed for PhD students conducting physics data analysis at the LHC or other HEP experiments; however, it is also open to other interested students and post-doctoral researchers. The school covers key statistical analysis tasks in both theory and practice and includes in-depth lectures on areas of high relevance.
Topics:
- Probability
- Hypothesis testing
- Parameter estimation
- Confidence intervals
- Systematic uncertainties
- Theory uncertainties
- Machine Learning
- Unfolding
- Bayesian inference
Invited Lecturers: Roger Barlow, Glen Cowan, Frank Tackmann, Tilman Plehn, Lydia Brenner and Kevin Kroeninger
The program will primarily consist of lectures. For some topics, interactive computing exercises in Python are planned; technical details will be announced well in advance of the school.
The school fee is 100 Euro and includes conference dinner and coffee breaks.
The DESY Hostel must be booked by yourself (places are not guaranteed!)
It is expected that you bring your own laptop for the hands on sessions.
Organizing Committee:
I. Henning, A. Hinzmann, D. Kruecker, I. Melzer-Pellmann, O. Behnke
