SCIENTIFIC PROGRAMME

 

Conference subject areas include a wide range of topics ranging from multivariate statistical theory to applications, including (but not limited to):

  • Multivariate inference
  • Multivariate models
  • Multivariate distributions and copulas
  • Statistical learning
  • Robust statistics
  • Sparse statistical methods
  • Methodology for high-dimensional data
  • Network models
  • Algebraic methods in multivariate analysis
  • Bayesian statistics  
  • Stochastic models in finance and insurance
  • Applied probability models
  • Methodology of official statistics
  • Applications of multivariate statistics