Intrinsic Information-Theoretic Models
Round 1
Reviewer 1 Report
Comments and Suggestions for AuthorsPlease see the attachement for the report.
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No
Author Response
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Reviewer 2 Report
Comments and Suggestions for AuthorsComments for author File: Comments.pdf
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Reviewer 3 Report
Comments and Suggestions for AuthorsThis interesting paper expands and refines the mathematical structures presented in Reference
in [1].
Specific optimizations enabled for a better and extended approach with the ultimate objective of giving a firmer foundation to the formalismes of [1].
Stationary states were dealt in the Riemannian manifold by invoking Schrodinger’s equation to discover that the ensuing information could be broken into quantum harmonic oscillators in a better way than in [1].
The critical features of their modeling process remain independent of the parametrization used and invariant under coordinate changes.
The same model can be applied across different parameterizations, allowing for greater consistency and generalizability.
Quantum harmonic oscillators reach the "intrinsic" Cramer–Rao lower bound on the quadratic Mahalanobis distance at the lowest energy level.
As in their previous study [1] they showed that the global probability density function of a set of m quantum harmonic oscillators at the lowest energy level, calculated as the square modulus of the global wave function at the ground state, equals the posterior probability distribution calculated using Bayes’ theorem from the m sources of information for all data values, taking as a prior the Riemannian volume of the informative metric.
The paper is well written and didactic.
I liked it and suggest acceptance.
Author Response
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