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Multidisciplinary Studies
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