Math 2.0

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Certified Bayesian optimal experimental design: from Expected Information Gain to Signal-to-Noise Ratio MF7XEPN4GV

URIm2://res/MF7XEPN4GV
Kindpreprint
CreatorsMohamed Doumbouya, Arthur Vidard, Olivier Zahm
Date2026-09-26
Subjectsarxiv cs.IT, arxiv math.IT
Scopein

Expressions

e1: version, preprint

Languageen
Date2026-09-26
IdsarXiv 2609.32282

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The mentions of the inventory that name this resource. Each name links to the card of its inventory row.

ItemKindWhereSource
6W8G6GSTRYstatementproposition 2arxiv
7EG6FGRQ31statementproposition 3arxiv
7SVDJCQVFWstatementcorollary 3arxiv
9S74CT27G5statementlemma 2arxiv
F9MFC53BQ4statementproposition 6arxiv
Incremental boundsstatementcorollary 1arxiv
Gradient-based diagnostic matricesstatementproposition 4arxiv
QDVZ3T08XBstatementproposition 5arxiv
SEHXHJVKRFstatementlemma 1arxiv
Quasi-optimalitystatementproposition 1arxiv
Main resultstatementtheorem 2.1arxiv
Conservative boundsstatementcorollary 2arxiv

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