Critchley, Frank; Marriott, Paul and Salmon, Mark
(2002).
On preferred point geometry in statistics.
Journal of Statistical Planning and Inference, 102(2) pp. 229–245.
Abstract
A brief synopsis of progress in differential geometry in statistics is followed by a note of some points of tension in the developing relationship between these disciplines. The preferred point nature of much of statistics is described and suggests the adoption of a corresponding geometry which reduces these tensions. Applications of preferred point geometry in statistics are then reviewed. These include extensions of statistical manifolds, a statistical interpretation of duality in Amari's expected geometry, and removal of the apparent incompatibility between (Kullback–Leibler) divergence and geodesic distance. Equivalences between a number of new expected preferred point geometries are established and a new characterisation of total flatness shown. A preferred point geometry of influence analysis is briefly indicated. Technical details are kept to a minimum throughout to improve accessibility.
| Item Type: |
Journal Article
|
| ISSN: |
0378-3758 |
| Keywords: |
Differential geometry; Divergence; Geodesic distance; Influence analysis; Kullback–Leibler divergence; Statistical manifold; Parametric statistical modelling; Preferred point geometry; Rao distance; Riemannian geometry; Yoke geometry |
| Academic Unit/Department: |
Mathematics, Computing and Technology > Mathematics and Statistics |
| Item ID: |
4661 |
| Depositing User: |
Frank Critchley
|
| Date Deposited: |
10 Jul 2006 |
| Last Modified: |
02 Dec 2010 19:52 |
| URI: |
http://oro.open.ac.uk/id/eprint/4661 |
| Share this page: |
    |
Actions (login may be required)
