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Computational Information Geometry in Statistics: Foundations

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Geometric Science of Information (GSI 2013)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8085))

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Abstract

This paper lays the foundations for a new framework for numerically and computationally applying information geometric methods to statistical modelling.

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Author information

Authors and Affiliations

  1. London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK

    Karim Anaya-Izquierdo

  2. The Open University, Milton Keynes, MK7 6AA, UK

    Frank Critchley

  3. University of Waterloo, Waterloo, Ontario, Canada, N2L 3G1

    Paul Marriott

  4. East Carolina University, Greenville, NC, 27858-4353, USA

    Paul Vos

Authors
  1. Karim Anaya-Izquierdo
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  2. Frank Critchley
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  3. Paul Marriott
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  4. Paul Vos
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Editor information

Editors and Affiliations

  1. Sony Computer Science Laboratories Inc, Tokyo, Japan

    Frank Nielsen

  2. Thales Land Air Systems, 91470, Limours, France

    Frédéric Barbaresco

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Anaya-Izquierdo, K., Critchley, F., Marriott, P., Vos, P. (2013). Computational Information Geometry in Statistics: Foundations. In: Nielsen, F., Barbaresco, F. (eds) Geometric Science of Information. GSI 2013. Lecture Notes in Computer Science, vol 8085. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40020-9_33

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  • DOI: https://doi.org/10.1007/978-3-642-40020-9_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40019-3

  • Online ISBN: 978-3-642-40020-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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