STAT 452: Correlated Data
Welcome!
Schedule
Learning Goals
- General Skills
- Course Topics
I Technology
R and RStudio Setup
- Troubleshooting
Git & Github
- Github Setup
- Git/Github Overview
R Resources
II Foundations
1 Introduction
2 Probability Review
3 Random Processes
- Today’s Learning Goals
- Group Activity
  - Covariance Matrix
  - Generating Correlated Data
4 Modeling Covariance
5 Model Components and Detrending
III Time Series
6 ACF and Random Walk
- Learning Goals
- Group Activity
  - Data Motivation: Marine Diversity during the Phanerozoic
  - Random Walk
7 AR and MA Models
- Learning Goals
- Class Warm Up
  - MA(1)
- Group Theory
  - AR(1)
- Name that Model
8 ARMA Models
- Learning Goals
- Name that Model
9 ARIMA and SARIMA Models
IV Longitudinal
10 Introduction to Longitudinal Data
11 GLM + GEE
- Learning Goals
- Group Activity
12 Mixed Effects
13 GEE v Mixed Effects
- Learning Goals
- Group Work
V Spatial
14 Intro to Three Types of Spatial Data
15 Intro to Areal Data
16 SAR and CAR Models
- Learning Goals
- Small Group Work
VI Checkpoints
Checkpoint 1
- Part 1: Covariance Matrices
- Part 2: Estimate Covariance and Correlation
Checkpoint 2
- Macalester Energy Use
Checkpoint 3
Checkpoint 4
Checkpoint 5
Checkpoint 6
Checkpoint 7
VII Mini Projects
Mini Project 1
- Github Setup
- Time Series Mini Project
Mini Project 2
- Github Setup
- Longitudinal Mini Project
Mini Project 3
- Spatial Mini Project
Capstone Project
- Github Setup
- Final Project
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STAT 452: Correlated Data

13 GEE v Mixed Effects

Learning Goals

Explain and illustrate the differences between GEE and Mixed Effects Models

Group Work

Go to Checkpoint 5 and work with your partner.