You will become familiar with basic elements in how computational methods are used in statistics.
Specific goals of the class are:
To learn how to simulate random events.
To use Monte Carlo simulation to study statistical methods.
To learn computationally intensive analysis methods like
the bootstrap and cross-validation.
To learn efficient methods for statistical computations in
regression models.
To learn methods for numerical optimization.
To learn how to conduct statistical analysis in SAS.
To learn skills for programming and analysis in R.