International Conference on Statistical Computing and Mathematics

• Statistical computing
  Programming for statistical data analysis
  Numerical methods for optimization and linear algebra
  Monte carlo methods for statistical inference
  Data partitioning and resampling
  Numerical methods in statistics
  Graphical methods in computational statistics
  Exploring data density and structure
  Statistical models and data fitting
  Computing environment
  Biostatistics and biocomputing
  Categorical data analysis
  Clustering and classification
  Computer-aided data analysis
  Computational bayesian methods
  Computational econometrics
  Data visualization
  Extreme value theory and applications
  Functional data analysis
  High-dimensional data analysis
  Kernel and monte carlo methods