## 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
- 7 Numerical optimization
- 8 Expectation maximization algorithms
- 9 Stochastic Optimization
- 10 The stochastic EM algorithm
- Appendix
- A R programming
- References