Contributed sessions

All topics within the broad interface of Computing & Statistics will be considered for oral and poster presentation. Topics include, but are not limited to:

  • biostatistics & biocomputing
  • categorical data analysis
  • clustering & classification
  • computer-aided data analysis
  • computational Bayesian methods
  • computational econometrics
  • data visualization
  • extreme value theory & applications
  • functional data analysis
  • high-dimensional data analysis
  • machine learning
  • text mining
  • mixture models
  • multivariate data analysis
  • nonparametric statistics
  • robust statistics
  • numerical methods in statistics
  • optimization heuristics in statistical modeling
  • parametric & semi parametric models
  • sampling methods
  • signal processing
  • spatial statistics
  • time series analysis

When submitting a contributed presentation (only abstract) you have to select the Type of Presentation (Contributed in-person presentation, Contributed virtual presentation or Poster Presentation (only virtual)), and then, select a session topic from the dropdown list and at least 3 keywords. The keywords will be used to group abstracts and minimize topic collisions among parallel sessions. Please add the most important ones, although they appear in the title of the talk or session. All the participants can attend in-person even if thery choose a virtual poster or oral presentation.