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 Crame&#x0301;r-Rao bound for the case with added noise is never smaller than for t...

Full description

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/

Internet

https://ieeexplore.ieee.org/document/8964345/

Similar Items