STAT 8670 - Computational Methods in Statistics
7
Additional Topics
Preface
1
Data Structure and R Programming
2
Numerical Approaches and Optimization in 1-D
3
Generating Random Variables
4
Monte Carlo Simulation and Variance Reduction
5
Numerical integration
6
Resampling, Jackknife and Bootstrap
7
Additional Topics
References
Appendix
8
Appendix: Introduction to R?
9
Appendix: Distributions
Table of contents
7.1
High-dimensional data
7.2
Dimensional Reduction Methods
7.2.1
Principal Component Analysis
7
Additional Topics
This chapter covers additional topics that will only be going over if time permits.
7.1
High-dimensional data
7.2
Dimensional Reduction Methods
7.2.1
Principal Component Analysis
6
Resampling, Jackknife and Bootstrap
References