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Terascale Statistics School 2017

→ Europe/Berlin
SR 4a/b (DESY Hamburg)

SR 4a/b

DESY Hamburg
Description
Lectures on statistics in high-energy physics:

- Basic concepts: Roger Barlow
- Advanced topics: Glen Cowan
- Machine learning: Harrison Prosper
- Introduction to R: Wolfgang Rolke
- Goodness of fit: Wolfgang Rolke
 


Excercises:

- Parameter estimates
- Likelihood methods
- Limit Setting
- Machine learning


It is expected that you can bring your own laptop for the excercises. Basic knowledge of Python is expected for the machine learning exercises, if you do not have any experience, please prepare yourself at least with a few online tutorials.

The school fee is 50 Euro.

Please register until 17 February 2017.

Support
Participants
  • Alessandra Betti
  • Anastasiya Melnik
  • Andrea Matic
  • Anke Biekoetter
  • Antonio Vagnerini
  • Armando Bermudez Martinez
  • Arunika Sahu
  • Benoit Roland
  • Carina Brandt
  • Carsten Grzesik
  • Christian Contreras Campana
  • Christoph Garbers
  • Claire David
  • Clara Leitgeb
  • Daniel Rauch
  • Daniela Dominguez Damiani
  • David Handl
  • Edgar Kellermann
  • Engin Eren
  • Eric Corrigan
  • Florian Fischer
  • Gabija Zemaityte
  • Gianluca Inguglia
  • Glen Cowan
  • Gregor Gessner
  • Gunnar Jäkel
  • Harrison Prosper
  • Hendrik Windel
  • Hua Ye
  • Hui Luo
  • Ilya Bobovikov
  • Isabell Melzer-Pellmann
  • Ivan De Gennaro Aquino
  • Jan-Hendrik Arling
  • Johannes Lange
  • John Meshreki
  • Jonas Wittbrodt
  • Joscha Knolle
  • Juan Manuel Grados Luyando
  • Julian Wollrath
  • Katharina Schleicher
  • Kerry Parker
  • Kevin Floeh
  • Krishna Kulkarni
  • Mario Arkenberg
  • Matteo Defranchis
  • Michael Nelson
  • Mykola Savitskyi
  • Namgyun Jeong
  • Nedaa Alexandra Asbah
  • Nicole Stefanov
  • Oliver Rieger
  • Paul Glaysher
  • Petr Gallus
  • Radek Zlebcik
  • Ralf Gugel
  • Reimund Bayerlein
  • Robert Karl
  • Robert Theinert
  • Roger Barlow
  • Roger Wolf
  • Serhat Atay
  • Simona Gargiulo
  • Stefanie Todt
  • Stefano Colucci
  • Timo Dreyer
  • Trine Poulsen
  • Vincent Kitali
  • Vincent Rothe
  • Volker Austrup
  • Wolfgang Rolke
  • Xuanhong Lou
  • Yasiel Delabat
  • Zuzana Moravcová
  • Monday 6 March
    • 1
      Welcome SR 4a/b

      SR 4a/b

      DESY Hamburg
      Slides
    • 2
      Introduction SR 4a/b

      SR 4a/b

      DESY Hamburg
      Speaker: Prof. Roger Barlow (Huddersfield University)
      Slides
    • 15:40
      Coffee break SR 4a/b

      SR 4a/b

      DESY Hamburg
    • 3
      Parameter estimation SR 4a/b

      SR 4a/b

      DESY Hamburg
      Speaker: Prof. Glen Cowan (Royal Holloway, University of London)
      Slides
    • 4
      Computing set up SR 4a/b

      SR 4a/b

      DESY Hamburg
      Slides
  • Tuesday 7 March
    • 5
      Introduction (Hypothesis Testing and Confidence Intervals) SR 4a/b

      SR 4a/b

      DESY Hamburg
      Speaker: Prof. Roger Barlow (Huddersfield University)
      Slides
    • 10:30
      Coffee break SR 4a/b

      SR 4a/b

      DESY Hamburg
    • 6
      Parameter estimation SR 4a/b

      SR 4a/b

      DESY Hamburg
      Speaker: Prof. Glen Cowan (Royal Holloway, University of London)
    • 12:30
      Lunch break SR 4a/b

      SR 4a/b

      DESY Hamburg
    • 7
      Tutorial - Limits (I) SR 4a/b

      SR 4a/b

      DESY Hamburg
      Speaker: Dr Roger Wolf (Karlsruhe Institut für Technologie (KIT))
      exercise-macros.tar.gz
      Slides
    • 15:30
      Coffee break SR 4a/b

      SR 4a/b

      DESY Hamburg
    • 8
      Tutorial - Limits (II) SR 4a/b

      SR 4a/b

      DESY Hamburg
      Speaker: Dr Roger Wolf (Karlsruhe Institut für Technologie (KIT))
  • Wednesday 8 March
    • 9
      Introduction (III) SR 4a/b

      SR 4a/b

      DESY Hamburg
      Speaker: Prof. Roger Barlow (Huddersfield University)
      Slides
    • 10:30
      Coffee break SR 4a/b

      SR 4a/b

      DESY Hamburg
    • 10
      Introduction: Machine learning SR 4a/b

      SR 4a/b

      DESY Hamburg
      Speaker: Prof. Harrison Prosper (Florida State University)
      Slides
    • 12:30
      Lunch break SR 4a/b

      SR 4a/b

      DESY Hamburg
    • 11
      Tutorial: Machine learning SR 4a/b

      SR 4a/b

      DESY Hamburg
      Speaker: Prof. Harrison Prosper (Florida State University)
    • 15:30
      Coffee break SR 4a/b

      SR 4a/b

      DESY Hamburg
    • 12
      Tutorial: Machine learning SR 4a/b

      SR 4a/b

      DESY Hamburg
      Speaker: Prof. Harrison Prosper (Florida State University)
    • 18:00
      Dinner Canteen Extension, build. 9

      Canteen Extension, build. 9

      DESY Hamburg
  • Thursday 9 March
    • 13
      Introduction to R SR 4a/b

      SR 4a/b

      DESY Hamburg
      Speaker: Wolfgang Rolke (UPR)
      Paper
      RData file
      Slides
    • 10:30
      Coffee break SR 4a/b

      SR 4a/b

      DESY Hamburg
    • 14
      Machine learning (II) SR 4a/b

      SR 4a/b

      DESY Hamburg
      Speaker: Prof. Harrison Prosper (Florida State University)
      Slides
    • 12:30
      Lunch break SR 4a/b

      SR 4a/b

      DESY Hamburg
    • 15
      Tutorial: Machine learning (II) SR 4a/b

      SR 4a/b

      DESY Hamburg
      Speaker: Prof. Harrison Prosper (Florida State University)
    • 15:30
      Coffee break SR 4a/b

      SR 4a/b

      DESY Hamburg
    • 16
      Tutorial: Machine learning (II) SR 4a/b

      SR 4a/b

      DESY Hamburg
      Speaker: Prof. Harrison Prosper (Florida State University)
  • Friday 10 March
    • 17
      Goodness of fit SR 4a/b

      SR 4a/b

      DESY Hamburg
      Speaker: Wolfgang Rolke (UPR)
      Paper
      Slides
    • 10:30
      Coffee break SR 4a/b

      SR 4a/b

      DESY Hamburg
    • 18
      Highlight talk: Statistics in the past, present and future SR 4a/b

      SR 4a/b

      DESY Hamburg
      Speaker: Prof. Harrison Prosper (Florida State University)
    • 19
      Goodbye SR 4a/b

      SR 4a/b

      DESY Hamburg
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