Skip to main content
Computational Statistics with R
Show table of contents
Table of contents
Preface
1
Introduction
Part I: Smoothing
2
Density estimation
3
Bivariate smoothing
Part II: Monte Carlo Methods
4
Univariate random variables
5
Monte Carlo integration
Part III: Optimization
6
Four Examples of statistical models
7
Numerical optimization
8
Expectation maximization algorithms
9
Stochastic Optimization
10
The stochastic EM algorithm
Appendix
A
R programming
References
View book source
10
The stochastic EM algorithm
Here goes some material
9
Stochastic Optimization
A
R programming
On this page
10
The stochastic EM algorithm
View source
Edit this page