SMML estimators asymptotically induce information-geometric quantisation where partitions are pullbacks of weighted Fisher-Rao Voronoi tessellations and codepoints are KL centroids for exponential families.
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Information Geometry and Asymptotic Theory for SMML Estimators
SMML estimators asymptotically induce information-geometric quantisation where partitions are pullbacks of weighted Fisher-Rao Voronoi tessellations and codepoints are KL centroids for exponential families.