The basics of information geometry

Name: The basics of information geometry
Creator: Caticha, Ariel
Keywords: Physics - Data Analysis, Statistics and Probability, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, FOS: Physical sciences, 02 engineering and technology, 16. Peace & justice, 01 natural sciences, Data Analysis, Statistics and Probability (physics.data-an)

Caticha, Ariel

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http://arxiv.org/pdf...arrow_drop_down

http://arxiv.org/pdf/1412.5633...

Article

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arXiv.org e-Print Archive

Preprint . 2014

Data sources: arXiv.org e-Print Archive

https://doi.org/10.1063/1.4905...

Article . 2015 . Peer-reviewed

Data sources: Crossref

https://dx.doi.org/10.48550/ar...

Article . 2014

License: arXiv Non-Exclusive Distribution

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https://dx.doi.org/10.1063/1.4...

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The basics of information geometry

descriptionPublicationkeyboard_double_arrow_right Article , Preprint , Other literature type 01 Jan 2015Embargo end date: 01 Jan 2014Publisher:AIP Publishing LLCJournal:AIP Conference Proceedings (issn: 0094-243X,

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Authors: Caticha, Ariel;

doi: 10.1063/1.4905960 , 10.48550/arxiv.1412.5633

arXiv: 1412.5633

The basics of information geometry

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Abstract

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".

13 pages. Invited tutorial presented at MaxEnt 2014, the 34th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (September 21--26, 2014, Amboise, France)

Related Organizations

State University of New York at Potsdam
United States
Physics Department
United States

Keywords

Physics - Data Analysis, Statistics and Probability, FOS: Physical sciences, Data Analysis, Statistics and Probability (physics.data-an)

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