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Planning Inference, vol. 108, pp. 23–35, 2002. [10] W. M. Boothby, An Introduction to Differential Manifolds and Riemannian Geometry, Second ed. New York: Academic, 1986. [11] D. C. Brody and L. P. Hughston, “Statistical geometry in quantum mechanics,” Proc. R. Soc. , vol. A 454, pp. 2445–2475, 1998. [12] I. Chavel, Riemannian Geometry—A Modern Introduction. : Cambridge Univ. Press, 1993. [13] J. Cheeger and D. G. Ebin, Comparison Theorems in Riemannian Geometry. Amsterdam, The Netherlands: North-Holland, 1975.

Martens, and M. Shub, “Newton’s method on Riemannian manifolds and a geometric model for the human spine,” IMA J. Numer. , vol. 22, pp. 359–390, 2002. [3] S. Amari, “Differential-Geometrical Methods in Statistics,” in Lecture Notes in Statistics. Berlin, Germany: Springer-Verlag, 1985, vol. 28. , “Differential geometric theory of statistics,” in Differential Geom[4] etry in Statistical Inference, S. S. Gupta, Ed. Hayward, CA: Inst. Math. , 1987, vol. 10, IMS Lecture Notes—Monograph Series. , Methods of Information Geometry.

During 1986 to 1987, 1989 to 1990, 1993 to 1996, 1998 to 1999, and 2001 to 2002, he was a Visiting Associate or Visiting Professor at the Lefschetz Centre for Dynamical Systems and Division of Applied Mathematics, Brown University, Providence, RI; the Department of Electrical Engineering, McGill University, Montreal, QC, Canada; the Communications Research Laboratory, McMaster University, Hamilton, ON, Canada; and the Department of Electrical Engineering, University of New Orleans, New Orleans, LA.

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A Centenary Celebration for Will Burtin: A Pioneer of Scientific Visualization by Wainer H.


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