computational information geometry in statistics: theory and practice
Clicks: 212
ID: 178396
2014
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Abstract
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.
| Reference Key |
critchley2014entropycomputational
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|---|---|
| Authors | ;Frank Critchley;Paul Marriott |
| Journal | European journal of medicinal chemistry |
| Year | 2014 |
| DOI |
10.3390/e16052454
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| URL | |
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