Course in Large-Sample and High-Dimensional Theory

Key Features

Focuses on core, representative topics in classical and modern statistical theory, emphasizing essential ideas that help readers extend their understanding to related areas

Treats important results that are otherwise scattered across research papers and monographs in a coherent and carefully organized manner

Provides direct, self-contained proofs of main results while assuming only basic concepts and results from probability and real analysis

Reinforces learning with end-of-chapter exercises as well as questions and exercises integrated into the main text