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This document describes concisely the ubiquitous class of exponential family distributions met in statistics.
Maximum likelihood from incomplete data via the em algorithm
A. P. Dempster, N. M. Laird, and D. B. Rubin · 1977
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Statistical decision rules and optimal inference
N. N. Čencov · 1982
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Fundamentals of statistical exponential families: with applications in statistical decision theory
L. D. Brown · 1986
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Statistical manifolds
Stefan L. Lauritzen · 1987
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Differential Geometry and Statistics
Michael Murray and John Rice · 1993
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Geometrical Foundations of Asymptotic Inference
R. E. Kass and P. W. Vos · 1997
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Methods of Information Geometry
Shun ichi Amari and H. Nagaoka · 2000
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On the uniqueness of the chentsov metric in quantum information geometry
M. R. Grasselli and R. F. Streater · 2001
Cited alongside, same era.
Computing the Rao distance for gamma distributions
F. Reverter and J. M. Oller · 2003
Cited alongside, same era.
Exponential families for conditional random fields
Yasemin Altun, Alex J. Smola, and Thomas Hofmann · 2004
Cited alongside, same era.
Clustering with bregman divergences
Arindam Banerjee, Srujana Merugu, Inderjit S. Dhillon, and Joydeep Ghosh · 2005
Cited alongside, same era.
Fisher information matrix and hyperbolic geometry
S. I. R. Costa, S. A. Santos, and J. E. Strapasson · 2005
Cited alongside, same era.
Axiomatic geometry of conditional models
Guy Lebanon · 2005
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Kernel methods and the exponential family
Stéphane Canu and Alexander J. Smola · 2006
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An analysis of logistic models: Exponential family connections and online performance
Arindam Banerjee · 2007
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Sided and symmetrized Bregman centroids
Frank Nielsen and Richard Nock · 2009
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Manuscript
Frank Nielsen and Richard Nock · 2011
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