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Volume 9, Issue 4


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Neighbourhoods of Independence for Random Processes via Information Geometry
Khadiga Arwini
C. T. J. Dodson


[1] K. Arwini and C. T. J. Dodson, "Information-Geometric Neighbourhoods of Randomness and Geometry of the McKay Bivariate Gamma 3-Manifold." Indian Journal of Statistics, 66(2), 2004 pp. 211-231.

[2] S-I. Amari, O. E. Barndorff-Neilsen, R. E. Kass, S. L. Lauritzen, and C. R. Rao, Differential-Geometrical Methods in Statistics, Springer Lecture Notes in Statistics 28, Berlin: Springer-Verlag, 1985.

[3] S-I. Amari and H. Nagaoka, Methods of Information Geometry, Transactions of Mathematical Monographs, Vol. 191, American Mathematical Society, 2000.

[4] C. T. J. Dodson and H. Matsuzoe, "An Affine Embedding of the Gamma Manifold," Applied Sciences [online], 5(1), 2003 pp. 1-6.

[5] Y. Cai, C. T. J. Dodson, A. J. Doig, and O. Wolkenhauer, "Information-Theoretic Analysis of Protein Sequences Shows That Amino Acids Self-Cluster," Journal of Theoretical Biology, 218(4), 2002 pp. 409-418.

[6] C. T. J. Dodson, "Spatial Statistics and Information Geometry for Parametric Statistical Models of Galaxy Clustering," International Journal of Theoretical Physics, 38(10), 1999 pp. 2585-2597.

[7] C. T. J. Dodson, "Geometry for Stochastically Inhomogeneous Spacetimes," Nonlinear Analysis, 47(5), 2001 pp. 2951-2958.

[8] J. E. Freund, "A Bivariate Extension of the Exponential Distribution," Journal of the American Statistical Association, 56, 1961 pp. 971-977.

[9] S. Kobayashi and K. Nomizu, Foundations Of Differential Geometry, Vol. 1, New York: John Wiley & Sons, 1963 p. 294.

[10] T. P. Hutchinson and C. D. Lai, Continuous Multivariate Distributions, Emphasizing Applications, Adelaide: Rumsby Scientific Publishing, 1990.

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