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"}