Teaching
Below are names of classes I am teaching/have taught, a recent syllabus, and notes. Here are some links that are generally helpful for students taking a class with me:
Statistical Learning
Statistical Computing
- Syllabus
- Project Presentation Expectations (
.pdf, .qmd)
- Project Paper Expectations (
.pdf, .qmd)
- Typed Notes:
- Coding, IDE (
.pdf, .qmd)
- Modes, Structures (
.pdf, .qmd)
- Random Variables (
.pdf, .qmd)
- Functions (
.pdf, .qmd)
- Data (
.pdf, .qmd)
- Big Data (
.pdf, .qmd)
- Lists (
.pdf, .qmd)
- Strings and Characters (
.pdf, .qmd)
- Problem Sets:
- Misc:
- Demo (
.pdf, .qmd)
- Smoothing (
.R)
- Making an AR Covariance (
.R)
- Middle Square Method (
.R)
.csv Examples (sportsref_download_1.csv, sportsref_download_2.csv, sportsref_download_3.csv, sportsref_download_4.csv)
- Other Data Examples (
sportsref_download_5.txt, sportsref_download_6.tsv, sportsref_download_7.txt, sportsref_download_8.txt)
- Excel Data Example (
sportsref_download.xls)
- Reading in Data (
.R)
- Massachusetts Employment Data (
CESReport.csv)
- Getting data from
html source (readhtml.R)
- Manipulating Data (
manipulation.R)
- Merging Data (
merging1.R), (merging2.R, (merging3.R)
- Reshaping Data (
reshape1.R), (reshape2.R)
Time Series
Linear Regression
- Syllabus
- Typed Notes:
- Notes 1 (
.pdf, .Rmd)
- Notes 2 (
.pdf, .Rmd)
- Notes 3 (
.pdf, .Rmd)
- Notes 4 (
.pdf, .Rmd)
- Notes 5 (
.pdf, .Rmd)
- Notes 6 (
.pdf, .Rmd)
- Notes 7 (
.pdf, .Rmd)
- Notes 8 (
.pdf, .Rmd)
- Notes 9 (
.pdf, .Rmd)
- Notes 10 (
.pdf, .Rmd)
- Notes 11 (
.pdf, .Rmd)
- Notes 12 (
.pdf, .Rmd)
- Notes 13 (
.pdf, .Rmd)
- Book Data: