A Scaling Law From Discrete to Continuous Solutions of Channel Capacity Problems in the Low-Noise Limit

Author:

Abbott Michael C.ORCID,Machta Benjamin B.ORCID

Funder

National Science Foundation

Narodowe Centrum Nauki

Publisher

Springer Science and Business Media LLC

Subject

Mathematical Physics,Statistical and Nonlinear Physics

Reference32 articles.

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3. Berger, J.O., Bernardo, J.M., Mendoza, M.: On Priors that Maximize Expected Information, Recent Developments in Statistics and Their Applications , pp. 1–20 (1988). https://www.uv.es/~bernardo/1989Seoul.pdf

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5. Clarke, B.S., Barron, A.R.: Jeffreys’ prior is asymptotically least favorable under entropy risk. J. Stat. Plan. Inference 41, 37–60 (1994)

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