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An inequality for rational functions with applications to some statistical estimation problems

Gopalakrishnan, P.S., Kanevsky, D., Nadas, A., Nahamoo, D.·1991·IEEE Transactions on Information Theory

Abstract

The well-known Baum-Eagon inequality (1967) provides an effective iterative scheme for finding a local maximum for homogeneous polynomials with positive coefficients over a domain of probability values. However, in many applications the goal is to maximize a general rational function. In view of this, the Baum-Eagon inequality is extended to rational functions. Some of the applications of this inequality to statistical estimation problems are briefly described.>

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Metadata

Authors
Gopalakrishnan, P. S., Kanevsky, D., Nadas, A., & Nahamoo, D.
Venue
IEEE Transactions on Information Theory
Published
1991
Volume
37
Issue
1
Pages
107-113
ISSN
0018-9448 (ISSN-L)
OpenAlex
W2098601596
Cited by
197
References
1
FWCI
5.20
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: An inequality for rational functions with applications to some statistical estimation problems. https://app.cochat.ai/papers/10.1109/18.61108
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Gopalakrishnan, P. S., Kanevsky, D., Nadas, A., & Nahamoo, D. (1991). An inequality for rational functions with applications to some statistical estimation problems. IEEE Transactions on Information Theory. https://doi.org/10.1109/18.61108

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