Ramdas & Wang's 390-page monologue on e-values offers a unified framework for hypothesis testing
_onionesque · x · 2026-10-24
zetalyrae resurfaces Aaditya Ramdas and Ruodu Wang's monograph "Hypothesis Testing with E-values" (arXiv:2410.23614, Foundations and Trends in Statistics, 390 pages).
- Three parts: fundamental concepts; core ideas (universal inference, log-optimality, e-processes, operations on e-values, multiple testing); and seven chapters of advanced topics.
- It collates results from modern papers plus unpublished material, giving a coherent picture of a fast-growing research area.
- Designed to serve as a graduate course textbook in statistics and related fields.
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