Abstract
The present chapter is devoted to the introduction of fundamental differential-geometrical structures of statistical models. The tangent space, the Riemannian metric and the α-connections are introduced in a statistical manifold. No differential-geometrical background is required for reading this monograph, because the present chapter provides a readable introduction to differential geometry.
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© 1985 Springer-Verlag Berlin Heidelberg
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Amari, Si. (1985). Differential Geometry of Statistical Models. In: Differential-Geometrical Methods in Statistics. Lecture Notes in Statistics, vol 28. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-5056-2_2
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DOI: https://doi.org/10.1007/978-1-4612-5056-2_2
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-96056-2
Online ISBN: 978-1-4612-5056-2
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