Contributed sessions
All topics within the broad interface of complex data analysis, econometrics and statistics will be considered for oral and poster presentation. Topics include, but are not limited to:
  • Clustering and Classification
  • Dimension reduction
  • Linear Models
  • Time Series
  • Spatial statistics
  • Data visualization
  • Risk Analysis
  • Numerical methods
  • Algorithms and Software
  • Optimization
  • Robust methods
  • Matrix Computations
  • Computational statistics and econometrics
  • Functional data analysis
  • High-dimensional data analysis
  • Bayesian methods
  • Machine learning
  • Mixture models
  • Semi- and non-parametric modelling
Submission

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 they choose a virtual poster or oral presentation.