All topics within the broad interface of Multivariate Data Analysis and Software will be considered for oral and poster presentation. Topics includes, but are not limited to:

Clustering and Clasification Dimension reduction Linear Models Time Series Spatial statistics Data visualization Risk Analysis

Numerical methods Algorithms and Software Statistics in R Optimization heuristics Robust methods Matrix Computations Computational econometrics

Functional data analysis High-dimensional data analysis Bayesian methods Machine learning Mixture models Semi- and non-parametric modelling

When submitting a contributed presentation (see the image below) you have to select the Type of publication (Only Abstract or Full Paper), the Type of Presentation (Contributed Oral Presentation or Poster Presentation). For a 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.