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Computational information geometry in statistics: theory and practice

Critchley, Frank and Marriott, Paul (2014). Computational information geometry in statistics: theory and practice. Entropy, 16(5) pp. 2454–2471.

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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 operational universal model space. Additional underlying theory and illustrative real examples are presented. In the infinite-dimensional case, challenges inherent in this ambitious overall agenda are highlighted and promising new methodologies indicated.

Item Type: Journal Item
Copyright Holders: 2014 by the authors
ISSN: 1099-4300
Extra Information: Special Issue: Information Geometry
Keywords: information geometry; computational geometry; statistical foundations
Academic Unit/School: Other Departments > Other Departments
Item ID: 41310
Depositing User: Frank Critchley
Date Deposited: 11 Nov 2014 10:02
Last Modified: 02 May 2018 14:03
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