STAT 8670 - Computational Methods in Statistics
9
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
Cross Validation
6
Resampling, Jackknife and Bootstrap
7
Smoothing Techniques in Statistics
8
Density Estimation
9
Additional Topics
References
Appendix
10
Appendix: Introduction to R?
11
Appendix: Distributions
12
Appendix: Project & R Package
13
Appendix: Numerical integration
Table of contents
9.1
High-dimensional data
9.2
Dimensional Reduction Methods
9.2.1
Principal Component Analysis
9
Additional Topics
This chapter covers additional topics that will only be going over if time permits.
9.1
High-dimensional data
9.2
Dimensional Reduction Methods
9.2.1
Principal Component Analysis
8
Density Estimation
References