activity
20062022
most cited-exponential models from the geometrical viewpoint

48 citations · 161 across the 26 of their papers we have counts for

collaborators

34 papers

math.ST2022

Affine statistical bundle modeled on a Gaussian Orlicz-Sobolev space

Giovanni Pistone

The dually flat structure of statistical manifolds can be derived in a non-parametric way from a particular case of affine space defined on a qualified set of probability measures.…

math.ST2022

Dually affine Information Geometry modeled on a Banach space

Goffredo Chirco, Giovanni Pistone

In this chapter, we study Information Geometry from a particular non-parametric or functional point of view. The basic model is a probabilities subset usually specified by regulari…

math.ST2021

A Lecture About the Use of Orlicz Spaces in Information Geometry

Giovanni Pistone

This is a revised version of a tutorial lecture that I presented at the Ècole de Physique des Houches on July 26-31 2020. Topics include Non-parametric Information Geometry, the St…

math.ST2020★ 10 cited

Lagrangian and Hamiltonian Mechanics for Probabilities on the Statistical Manifold

Goffredo Chirco, Luigi Malagò, Giovanni Pistone

We provide an Information-Geometric formulation of Classical Mechanics on the Riemannian manifold of probability distributions, which is an affine manifold endowed with a dually-fl…

math.ST2020

Information Geometry of smooth densities on the Gaussian space: Poincaré inequalities

Giovanni Pistone

We derive bounds for the Orlicz norm of the deviation of a random variable defined on from its Gaussian mean value. The random variables are assumed to be smooth and…

stat.ME2020

Finite space Kantorovich problem with an MCMC of table moves

Giovanni Pistone, Fabio Rapallo, Maria Piera Rogantin

In Optimal Transport (OT) on a finite metric space, one defines a distance on the probability simplex that extends the distance on the ground space. The distance is the value of a…