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