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.
An invariant form for the prior probability in estimation problems.Proceedings of the Royal Society of London
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.ST 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.