Detailed examination of discrete and continuous models, including the exponential family and bivariate normal distributions. Inference Techniques: Focuses on point and interval estimation, Neyman-Pearson theory
: Additional coverage of bootstrapping and resampling.
The book delves deep into the , which sets the limit on how "good" an unbiased estimator can be. This is a fundamental concept for anyone moving into advanced econometrics or machine learning. 3. Bayesian Inference