Applied Regression Analysis
An introduction to linear regressive theory, least-squares methods for model fitting, hypothesis testing, estimation, prediction.
An Introduction to Statistical Learning: with Applications in R, James, et al, Springer, 2017.
A mathematical introduction to statistical regression analysis - linear models, logistic regression and more advanced topics - using the software R.
- Linear regression
- Resampling methods
- Linear model selection and regularization
- Moving beyond linearity
- Tree-based methods
- Selected advanced topics as time allows
(Talata 2018 )