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Mathematics and statistics

  • 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

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