Results 11 to 20 of about 747,762 (279)
A Fisher-Rao Metric for Paracatadioptric Images of Lines [PDF]
International Journal of Computer Vision, 2012 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Stephen J. Maybank +2 more
openaire +5 more sources
M-theory and information metric fisher
, 2021 M-theory and information metric fisher.
Kuyukov
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Fractals via Controlled Fisher Iterated Function System
Fractal and Fractional, 2022 This paper explores the generalization of the fixed-point theorem for Fisher contraction on controlled metric space. The controlled metric space and Fisher contractions are playing a very crucial role in this research.
C. Thangaraj, D. Easwaramoorthy
doaj +1 more source
Nonparametric Estimations and the Diffeological Fisher Metric [PDF]
, 2021 In this paper, first, we survey the concept of diffeological Fisher metric and its naturality, using functorial language of probability morphisms, and slightly extending Lê's theory in \cite{Le2020} to include weakly $C^k$-diffeological statistical models.
Hông Vân Lê 0001, Alexey A. Tuzhilin
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, 2008 The information in a mass of data is summarised by fitting to the data a probability density function (pdf) chosen from a parameterised family of pdfs. Distances between pairs of pdfs are calculated using the Fisher-Rao metric, which provides a measure ...
Maybank, Stephen J.
core +7 more sources
Dynamics of the Fisher information metric [PDF]
Physical Review E, 2005 11 ...
Calmet, X., Calmet, J.
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Riemannian Laplace Approximation with the Fisher Metric
CoRR, 2023 AISTATS 2024, with additional fixes and improvements.
Yu, Hanlin +4 more
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Weighted Relative Group Entropies and Associated Fisher Metrics
Entropy, 2022 A large family of new α-weighted group entropy functionals is defined and associated Fisher-like metrics are considered. All these notions are well-suited semi-Riemannian tools for the geometrization of entropy-related statistical models, where they may ...
Iulia-Elena Hirica +3 more
doaj +1 more source
Holographic Fisher information metric in Schrödinger spacetime [PDF]
The European Physical Journal Plus, 2021 Minor ...
H. Dimov +4 more
openaire +2 more sources
Curve Registration of Functional Data for Approximate Bayesian Computation
Stats, 2021 Approximate Bayesian computation is a likelihood-free inference method which relies on comparing model realisations to observed data with informative distance measures.
Anthony Ebert +3 more
doaj +1 more source