In the 40's, C.R. Rao considered probability distributions for a statistical model as the points of a Riemannian smooth manifold, where the considered Riemannian metric is the so-called Fisher metric. When extended to the complex projective space, this metric is actually the Fubini-Study metric. For certain models, it is quite remarkable that one actually needs to consider data with complex values. © 2013 Springer-Verlag.
CITATION STYLE
Keller, J. (2013). Geometric quantization of complex Monge-Ampère operator for certain diffusion flows. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8085 LNCS, pp. 612–620). https://doi.org/10.1007/978-3-642-40020-9_68
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