16 citations · 51 across the 13 of their papers we have counts for
14 papers
Fisher Information Framework for Time Series Modeling
R. C. Venkatesan, A. Plastino
A robust prediction model invoking the Takens embedding theorem, whose \textit{working hypothesis} is obtained via an inference procedure based on the minimum Fisher information pr…
Hellmann-Feynman connection for the relative Fisher information
R. C. Venkatesan, A. Plastino
The reciprocity relations for the relative Fisher information (RFI, hereafter) and a generalized RFI-Euler theorem, are self-consistently derived from the Hellmann-Fey…
Legendre transform structure and extremal properties of the relative Fisher information
R. C. Venkatesan, A. Plastino
Variational extremization of the relative Fisher information (RFI, hereafter) is performed. Reciprocity relations, akin to those of thermodynamics are derived, employing the extrem…
Invertible mappings and the large deviation theory for the -maximum entropy principle
R. C. Venkatesan, A. Plastino
The possibility of reconciliation between canonical probability distributions obtained from the -maximum entropy principle with predictions from the law of large numbers when em…
Reconciliation between the Tsallis maximum entropy principle and large deviation theory
R. C. Venkatesan, A. Plastino
The necessary conditions (NC) that reconcile canonical probability distributions obtained from the q-maximum entropy principle, subjected to both i) the additive duality of general…
Deformed Statistics Free Energy Model for Source Separation using Unsupervised Learning
R. C. Venkatesan, A. Plastino
A generalized-statistics variational principle for source separation is formulated by recourse to Tsallis' entropy subjected to the additive duality and employing constraints descr…