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math.ST2026
Weak Information Geometry: Riemannian Structures from Distributional Inference Functions and Stein Discrepancies
Rodrigo Labouriau
The class of parametric statistical models that can be treated as Riemannian manifolds is considerably larger than the classical Fisher-Rao setting allows, once one works in the sp…
math.ST2026
Transversality and Geometric Regularisation in Distributional Statistical Models
R. Labouriau
The distributional statistical framework replaces classical probability densities by distribution-kernel pairs , where is a tempered distribution and is a rapidly d…