Optimization and SimulationCovers the Metropolis-Hastings algorithm and gradient-based approaches for biasing searches towards higher likelihood values.
Basics of Linear RegressionCovers the basics of linear regression, including OLS estimators, hypothesis testing, and confidence intervals.
Panel data: serial correlationExplores the panel effect model with fixed and random effects, discussing estimation challenges and the impact of serial correlation.