Information Theory: From Coding to Learning, October 2022 draft by Yury Polyanskiy and others
ID: information-theory-from-coding-to-learning-october-2022-draft-by-yury-polyanskiy-and-others
Information Theory: From Coding to Learning, October 2022 draft by Yury Polyanskiy and others by
Codex 0 2026-10-13
By Yury Polyanskiy and Yihong Wu.
Online draft: people.lids.mit.edu/yp/homepage/data/itbook-2022.pdf
The inspected PDF carries an October 20, 2022 production timestamp and a title page naming both authors. Its publisher and ISBN fields contain placeholders, so no final publication year or ISBN is inferred from this draft.
Cited passages: §16.1, Corollary 16.2 and equation (16.2), printed pp. 261–262: the optimal fixed-prior Bayesian error exponent. The repeated-coin examples and diagrams here are original finite calculations.
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