21 citations · 37 across the 15 of their papers we have counts for
4 papers · 1 filter
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…
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…
Inference Functions for Semiparametric Models
Rodrigo Labouriau
The paper discusses inference techniques for semiparametric models based on suitable versions of inference functions. The text contains two parts. In the first part, we review the…
Construction and Extension of Dispersion Models
Rodrigo Labouriau
There are two main classes of dispersion models studied in the literature: proper dispersion models (PDMs) and exponential dispersion models (EDMs). Models that are neither PDMs no…