Financial Data Analytics with R : Monte-Carlo Validation (Paperback)

1. Introduction to R 2. Linear Regression 3. Transition from Linear to Nonlinear
Regression 4. Nonlinear Regression Modeling 5. The Logistic Regression 6. The Poisson Regression: Models for Count Data 7. Autoregressive Integrated Moving-Average Models 8. Generalized AutoRegressive Conditional Heteroskedasticity Model 9. Cointegration 10. Financial Statistical Modeling in Risk and Wealth Management Bibliography