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
  • kernel & Monte Carlo methods
  • machine learning
  • mixture models
  • multivariate data analysis
  • nonparametric statistics
  • numerical methods in statistics
  • optimization heuristics in statistical modeling
  • parametric & semi parametric models
  • robust statistics
  • sampling methods
  • signal processing
  • spatial statistics
  • symbolic data analysis
  • time series analysis

When submitting a contributed presentation (only abstract) you have to select the Type of Presentation (Contributed Oral Presentation or Poster Presentation (only virtual)). For an in-person Contributed Oral Presentation you have to select also the Session in which your presentation fits better and, optionally, you can select a topic from the dropdown list. For a virtual Contributed Oral Presentation, you have to select the Session "Virtual session" and, optionally, you can select a topic from the dropdown list. All the participants can attend in-person even if thery choose a virtual poster or oral presentation.