Hypothesis testing with e-values

Understand

This book is written to offer a humble, but unified, treatment of e-values in hypothesis testing.

• It is organized into three parts: Fundamental Concepts, Core Ideas, and Advanced Topics.
• The first part includes four chapters that introduce the basic concepts.
• The second part includes five chapters of core ideas such as universal inference, log-optimality, e-processes, operations on e-values, and e-values in multiple testing.