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Fisher Information and Semiclassical Treatments [PDF]

open access: yesEntropy, 2009
We review here the difference between quantum statistical treatments and semiclassical ones, using as the main concomitant tool a semiclassical, shift-invariant Fisher information measure built up with Husimi distributions.
Angelo Plastino   +2 more
doaj   +5 more sources

Transactional Interpretation for the Principle of Minimum Fisher Information [PDF]

open access: yesEntropy, 2021
The principle of minimum Fisher information states that in the set of acceptable probability distributions characterizing the given system, it is best done by the one that minimizes the corresponding Fisher information.
Marcin Makowski   +3 more
doaj   +2 more sources

On a Conjecture regarding Fisher Information [PDF]

open access: yesAdvances in Mathematical Physics, 2015
Fisher’s information measure I plays a very important role in diverse areas of theoretical physics. The associated measures Ix and Ip, as functionals of quantum probability distributions defined in, respectively, coordinate and momentum spaces, are the ...
Angelo Plastino   +2 more
doaj   +4 more sources

Mutual Information, Fisher Information, and Population Coding [PDF]

open access: yesNeural Computation, 1998
In the context of parameter estimation and model selection, it is only quite recently that a direct link between the Fisher information and information-theoretic quantities has been exhibited. We give an interpretation of this link within the standard framework of information theory.
Brunel, Nicolas, Nadal, Jean-Pierre
openaire   +4 more sources

Inequalities for quantum Fisher information [PDF]

open access: yesProceedings of the American Mathematical Society, 2008
In 2003 Luo proved an inequality relating the Wigner-Yanase information and the $SLD$-information. In this paper we prove that Luo's inequality is a particular case of a general inequality which holds for any regular quantum Fisher information. Moreover we show that this general inequality is a consequence of the Kubo-Ando inequality that states that ...
GIBILISCO, PAOLO   +2 more
openaire   +8 more sources

Fisher Information Neural Estimation

open access: yes2022 30th European Signal Processing Conference (EUSIPCO), 2022
International audienceFisher information is a fundamental quantity in information theory and signal processing. A direct analytical computation of the Fisher information is often infeasible or intractable due to the lack or sophistication of statistical ...
Tran Trong Duy   +4 more
openaire   +3 more sources

Jeffreys Divergence and Generalized Fisher Information Measures on Fokker-Planck Space-Time Random Field. [PDF]

open access: yesEntropy (Basel), 2023
In this paper, we present the derivation of Jeffreys divergence, generalized Fisher divergence, and the corresponding De Bruijn identities for space–time random field.
Zhang J.
europepmc   +2 more sources

A Fisher Information Theory of Aesthetic Preference for Complexity. [PDF]

open access: yesEntropy (Basel)
When evaluating sensory stimuli, people tend to prefer those with not too little or not too much complexity. A recent theoretical proposal for this phenomenon is that preference has a direct link to the Observed Fisher Information that a stimulus carries
Berquet S, Aleem H, Grzywacz NM.
europepmc   +2 more sources

Cumulative Residual q-Fisher Information and Jensen-Cumulative Residual χ2 Divergence Measures. [PDF]

open access: yesEntropy (Basel), 2022
In this work, we define cumulative residual q-Fisher (CRQF) information measures for the survival function (SF) of the underlying random variables as well as for the model parameter. We also propose q-hazard rate (QHR) function via q-logarithmic function
Kharazmi O, Balakrishnan N, Jamali H.
europepmc   +2 more sources

Fisher Information and Mutual Information Constraints [PDF]

open access: yes2021 IEEE International Symposium on Information Theory (ISIT), 2021
We consider the processing of statistical samples $X\sim P_θ$ by a channel $p(y|x)$, and characterize how the statistical information from the samples for estimating the parameter $θ\in\mathbb{R}^d$ can scale with the mutual information or capacity of the channel.
Leighton Pate Barnes, Ayfer Özgür
openaire   +2 more sources

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