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 Tuesday and Wednesday’s lectures.
Links become active as the materials for each week are posted.
Week 1: Introduction and Foundations of Probability
Week 2: Conditional Probability and Independence
- Week 2 Github Repository
- Week 2
.htmlslides - Illustrating conditional probability - How does the distribution of Party ID shift as you condition on observed policy preferences? (RShiny app using data from the Cooperative Election Study 2025)
- Illustrating Bayes’ rule with BISG - Can we predict an individual’s race/ethnicity from geolocation and surname frequency data (RShiny app using the Census Bureau surname list and the 2020 Census)
Week 3: Random Variables and Distributions
Week 4: Joint Distributions and Expectation
To be posted
Week 5: Variance, Covariance, and Conditional Expectation
To be posted
Week 6: Estimation: Part 1
To be posted
Week 7: Estimation: Part 2
To be posted
Week 8: Confidence Intervals and Hypothesis Testing
To be posted
Week 9: Introduction to Regression
To be posted
Week 10: Inference for Regression
To be posted
Week 11: Interpreting Regressions
To be posted
Week 12: Regression Wrap-up
To be posted
Week 13: Weighting Estimators
To be posted
Week 14: Preview: Causal inference
To be posted