Results 51 to 60 of about 1,600,993 (289)
Interest rates and information geometry [PDF]
20 pages, 3 ...
Brody, D C, Hughston, L P
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Far from Asymptopia: Unbiased High-Dimensional Inference Cannot Assume Unlimited Data
Inference from limited data requires a notion of measure on parameter space, which is most explicit in the Bayesian framework as a prior distribution. Jeffreys prior is the best-known uninformative choice, the invariant volume element from information ...
Michael C. Abbott, Benjamin B. Machta
doaj +1 more source
Foliations-Webs-Hessian Geometry-Information Geometry-Entropy and Cohomology
IN MEMORIAM OF ALEXANDER GROTHENDIECK. THE MAN.
Michel Nguiffo Boyom
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Entropic Dynamics in a Theoretical Framework for Biosystems
Central to an understanding of the physical nature of biosystems is an apprehension of their ability to control entropy dynamics in their environment.
Richard L. Summers
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Stochastic Chaos and Markov Blankets
In this treatment of random dynamical systems, we consider the existence—and identification—of conditional independencies at nonequilibrium steady-state.
Karl Friston +4 more
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The basics of information geometry [PDF]
To what extent can we distinguish one probability distribution from another? Are there quantitative measures of distinguishability? The goal of this tutorial is to approach such questions by introducing the notion of the "distance" between two probability distributions and exploring some basic ideas of such an "information geometry".
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Information geometry and the renormalization group [PDF]
1 + 20 Pages, LaTeX. References added, Discussions improved. Version accepted in Phys.
Tapobrata Sarkar +2 more
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Moufang patterns and geometry of information
amstex, 42 ...
Combe, Noémie +2 more
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Computational Information Geometry in Statistics: Theory and Practice
A broad view of the nature and potential of computational information geometry in statistics is offered. This new area suitably extends the manifold-based approach of classical information geometry to a simplicial setting, in order to obtain an ...
Frank Critchley, Paul Marriott
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A Simple Approximation Method for the Fisher–Rao Distance between Multivariate Normal Distributions
We present a simple method to approximate the Fisher–Rao distance between multivariate normal distributions based on discretizing curves joining normal distributions and approximating the Fisher–Rao distances between successive nearby normal ...
Frank Nielsen
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