Lectures

Lecture Slides

Lecture slides are available as self-contained .html files made with RevealJS from a Quarto .qmd file. You can choose to print these to a PDF document by using the “PDF Export Mode” in the Tools menu accessed via the settings button in the lower left-hand side of the page. You are also welcome to directly download the .qmd file and supporting data/images/etc. from the Github repository. Slides are organized by week and combine Monday and Wednesday’s lectures.

Links become active as the materials for each week are posted.

Week 1: Course Introduction and Review

• Week 1 Github Repository
• Week 1 .html slides

Week 2: Introduction to Likelihood Inference

• Week 2 Github Repository
• Week 2 .html slides

Week 3: Generalized Linear Models

• Week 3 Github Repository
• Week 3 .html slides

Week 4: More Likelihood Models

• Week 4 Github Repository
• Week 4 .html slides

Week 5: Bayesian Inference

To be posted

Week 6: Estimating Bayesian Models

To be posted

Week 7: Multilevel Regression Models

To be posted

Week 8: Mixture Models and the EM Algorithm

To be posted

Week 9: Item Response Theory and Ideal Point Models

To be posted

Week 10: Regularization and Model Selection

To be posted

Week 11: Flexible Regression – Trees and Forests

To be posted

Week 12: Flexible Regression – Kernels and Gaussian Processes

To be posted

Week 13: Causal Inference with Flexible Regression

To be posted

Week 14: Working with “Big” Datasets

To be posted