Manel Martinez - On an Optimal Method for Selecting the Bin Size of a Histogram

Europe/Madrid
Seminar (IFAE)

Seminar

IFAE

Marc Manera (IFAE), Pere Masjuan (IFAE), Stefano Terzo (IFAE)
Description

Histograms are a very useful statistical tool widely used to infer the underlying probability density functions (pdf) in data analysis. For a given data sample, a constant-bin-size histogram in one variable has a single free parameter that is the bin size. The main goal in the election of the bin size is that the relevant features of the pdf are not lost in the bin integration but, on the other hand, spurious features due to statistical fluctuations are integrated out as much as possible. Several algorithms have been proposed to decide on the right bin size for a given data sample. In this talk, we'll focus on an algorithm based upon the use of a likelihood method that should provide the optimal choice of the bin size.

Registration
Participants
Participants
  • Abelardo Moralejo
  • Antonio Pineda
  • Bruno Bourguille
  • Camilo Rojas
  • Chaitanya Priyadarshi
  • César Jesús-Valls
  • Eric Peregrina
  • Manel Martinez
  • Marcel Algueró
  • Marti Verdaguer
  • Matteo Cavalli-Sforza
  • Otger Ballester
  • Rafael García
  • Rafel Escribano
  • Ramon Miquel
  • SARA STRAUCH
  • Sebastian Pina-Otey
  • Ser González
  • Sidika Merve Colak
  • Stergios Kazakos
  • Thorsten Lux
  • Tianya Wu
  • umut demirbozan
    • 13:00 13:05
      Introduction and General Announcements 5m
      Speakers: Dr Marc Manera (IFAE), Dr Pere Masjuan, Dr Stefano Terzo (IFAE)
    • 13:05 13:25
      Presentation of the Week 20m
      Speaker: Manel Martinez (IFAE)
    • 13:25 13:35
      Discussion 10m
    • 13:35 14:00
      Pizza 25m
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