The purpose of this article is to formulate Bayesian updating from dynamical viewpoint. We prove that Bayesian updating for population mean vectors of multivariate normal distributions can be expressed as an affine symplectic transformation on a phase space with the canonical symplectic structure.
References
[1]
Abraham, R. and Marsden, J.E. (1987) Foundations of Mechanics. Second Edition, Addison-Wesley Publishing Company, Inc., Boston.
[2]
De Gosson, M.A. (2006) Symplectic Geometry and Quantum Mechanics. Birkhäuser, Basel. https://doi.org/10.1007/3-7643-7575-2
[3]
Hofer, H. and Zehnder, E. (1994) Symplectic Invariants and Hamiltonian Dynamics. Birkhäuser, Basel. https://doi.org/10.1007/978-3-0348-8540-9
[4]
Weinstein, A. (1981) Symplectic Geometry. Bulletin of the American Mathematical Society, 5, 1-13. https://doi.org/10.1090/S0273-0979-1981-14911-9
[5]
Mori, A. (2018) Information Geometry in a Global Setting. Hiroshima Mathematical Journal, 48, 291-305. https://doi.org/10.32917/hmj/1544238029
[6]
Mori, A. A Congruence Theorem for Alpha-Connections on the Space of T-Distributions and Its Application.
[7]
Amari, S. and Nagaoka, H. (2000) Methods of Information Geometry. Translations of Mathematical Monographs, Vol. 191, American Mathematical Society, Providence, Oxford University Press, Oxford, Translated from the 1993 Japanese Original by Daishi Harada.
[8]
Boumuki, N. and Noda, T. (2016) On Gradient and Hamiltonian Flows on Even Dimensional Dually Flat Spaces. Fundamental Journal of Mathematics and Mathematical Sciences, 6, 51-66.
[9]
Noda, T. (2011) Symplectic Structures on Statistical Manifolds. Journal of the Australian Mathematical Society, 90, 371-384.
https://doi.org/10.1017/S1446788711001285
[10]
Lesaffre, E. and Lawson, A.B. (2012) Bayesian Biostatistics (Statistics in Practice). Wiley, Hoboken. https://doi.org/10.1002/9781119942412