Maryclare Griffin

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:

• R Markdown Reference Guide

Statistical Learning

• Syllabus
• Typed Notes:
  • Overview (.pdf, .Rmd)
  • Statistical Learning (.pdf, .Rmd)
  • Regression (.pdf, .Rmd)
  • Classification (.pdf, .Rmd)

Time Series

• Syllabus
• Typed Notes:
  • Introduction
  • Basic Time Series Concepts
  • ARMA Models
  • Forecasting
  • Estimation and Selection
  • Non-Stationarity
  • State Space
  • Stochastic Volatility
  • Spectral Methods/The Spectral Domain
  • Multivariate Regression
  • Multivariate Time Series Concepts
  • Multivarate Autoregressive Moving Average Models

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:
  • Dwaine
  • Plasma
  • Plutonium
  • Toluca