$Exploring <inline-formula> <tex-math notation="LaTeX">$Bona~Fide$ </tex-math></inline-formula> Optimal Noise for Bayesian Parameter Estimation$

Exploring <inline-formula> <tex-math notation="LaTeX">$Bona~Fide$ </tex-math></inline-formula> Optimal Noise for Bayesian Parameter Estimation

In this paper, we investigate the benefit of intentionally added noise to observed data in various scenarios of Bayesian parameter estimation. For optimal estimators, we theoretically demonstrate that the Bayesian Cramér-Rao bound for the case with added noise is never smaller than for t...

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Bibliographic Details
Main Authors:	Jia Liu, Fabing Duan, Francois Chapeau-Blondeau, Derek Abbott
Format:	Article
Language:	English
Published:	IEEE 2020-01-01
Series:	IEEE Access
Subjects:	Bayesian estimator Bayesian information <italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">bona fide</italic> optimal noise noise benefit parameter estimation
Online Access:	https://ieeexplore.ieee.org/document/8964345/

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