Statistical Theory and Methods

A graduate-level introduction to statistical theory and methods covering some of the most important and commonly-used principles of mathematical statistics and statistical learning. Covers the statistical theory and methods for point estimation, hypothesis testing, and confidence intervals. These topics are covered in both nonparametric, semiparametric, and parametric settings, and from asymptotic and non-asymtoptotic viewpoints.