Basics of Linear RegressionCovers the basics of linear regression, including OLS estimators, hypothesis testing, and confidence intervals.
Interval EstimationCovers the construction of confidence intervals for a normal distribution with unknown mean and variance.
Inference and Mixed ModelsCovers point estimation, confidence intervals, and hypothesis testing for smooth functions using mixed models and spline smoothing.
Probability and StatisticsCovers fundamental concepts in probability and statistics, emphasizing data analysis techniques and statistical modeling.
