Bayesian M-Ary Hypothesis Testing: The Meta-Converse and Verdu-Han Bounds Are Tight
- Submitting institution
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University of Cambridge
- Unit of assessment
- 12 - Engineering
- Output identifier
- 7688
- Type
- D - Journal article
- DOI
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10.1109/TIT.2016.2542080
- Title of journal
- IEEE Transactions on Information Theory
- Article number
- -
- First page
- 2324
- Volume
- 62
- Issue
- 5
- ISSN
- 0018-9448
- Open access status
- Out of scope for open access requirements
- Month of publication
- March
- Year of publication
- 2016
- URL
-
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- Supplementary information
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- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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3
- Research group(s)
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- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work formed the basis of the successful ERC Consolidator grant proposal (ERC Grant 725411). Several invited talks were given based on this work: NSF Workshop MIT, 2017; 2016 ICSEE, Israel; 2016 Zurich Seminar on Communications.
- Author contribution statement
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- Non-English
- No
- English abstract
- -