Conference Topics

The program committee has decided to focus mainly on the following topics:

  • High-dimensional data, Big data
  • Statistics for stochastic processes
  • Bayesian statistics

More broadly, the conference will deal with all themes related to Statistics:

  • Data mining
  • Statistical learning and clustering
  • Biostatistics
  • Chimiometry
  • Survival analysis and reliability
  • Econometrics
  • Statistics education
  • Environmental statistics
  • Case studies
  • Large dimension and big data
  • History of statistics
  • Marketing
  • Bayesian statistics
  • Medicine, epidemiology
  • Mixture models
  • Graphical models
  • Insurance and finance
  • Semi and nonparametric models
  • Wavelets
  • Experimental designs
  • Inverse problems and sparsity
  • Quality control
  • Survey sampling methods
  • Mathematical statistics
  • Spatial statistics
  • Time Series
  • Image Analysis
  • Extreme values modelling

The opportunity will be given to deal with these themes in both their theoretical and applied aspects.

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