EECS E6690 Statistical Learning Homework

Provide solutions for statistical learning homework.
Homework is a combination of mathmatical proofs and R coding.

Structure

.
├── hw1-questions.pdf
├── hw2-questions.pdf
├── hw3-problems.pdf
├── hw1
│   ├── ch3467_HW1.pdf
│   ├── ch3467_HW1.Rmd
│   └── ...
├── hw2
│   ├── ch3467_HW2.pdf
│   ├── ch3467_HW2.Rmd
│   └── ...
├── hw3
│   ├── ch3467_HW3.pdf
│   ├── ch3467_HW3.Rmd
│   └── ...
├── README.md
└── Template
    ├── homework.cls
    ├── UNI_HW#.pdf
    └── UNI_HW#.tex

• All the questions are in root folder
• All solutions are writen in Rmd and rendered to pdf

Note

• Latex configuration in Rmd
  • Global configuration

          --- 
          title: "EECS E6690 hw3"
          author: "Chong Hu ch3467"
          date: 'Sep 22, 2019'
          output: 
            pdf_document:
              latex_engine: pdflatex
          header-includes: 
          - \usepackage{graphicx}
          - \usepackage{float}
          ---

          ```{r global_options, include=FALSE}
          knitr::opts_chunk$set(echo = TRUE, fig.pos = 'H')

    ```
  • Configuration for plots
    
    e.g.

      ```{r,  fig.height = 3.5, fig.width = 5, fig.align = "center",  fig.cap="$\\boldsymbol{C_p}$ vs. Subset Size for backward setpwise selection"}