Several functions originating from Fisher–Rao geometry of Dirichlet distributions and involving polygamma functions

F Qi, RP Agarwal - Mathematics, 2023 - mdpi.com
In this paper, the authors review and survey some results published since 2020 about
(complete) monotonicity, inequalities, and their necessary and sufficient conditions for …

On closed-form expressions for the Fisher–Rao distance

HK Miyamoto, FCC Meneghetti, J Pinele… - Information Geometry, 2024 - Springer
Abstract The Fisher–Rao distance is the geodesic distance between probability distributions
in a statistical manifold equipped with the Fisher metric, which is a natural choice of …

Parametric information geometry with the package Geomstats

A Le Brigant, J Deschamps, A Collas… - ACM Transactions on …, 2023 - dl.acm.org
We introduce the information geometry module of the Python package Geomstats. The
module first implements Fisher–Rao Riemannian manifolds of widely used parametric …

Estimation statistique dans les variétés Riemanniennes: implémentation et application à l'étude des déformations cardiaques

N Guigui - 2021 - theses.fr
Résumé L'étude des formes anatomiques et de leur mouvement est au cœur des
préoccupations dans de nombreuses spécialités de la médecine. En cardiologie, des …

Information-Geometrical Perspectives of Regime Switching in Stock Markets

N Jaroonchokanan, S Suwanna… - Available at SSRN … - papers.ssrn.com
In a financial market, regime switching occurs as a result of a financial stress causing
volatility to change rapidly. In this article, we present an information geometry framework for …

Computational methods for statistical estimation on Riemannian manifolds and application to the study of the cardiac deformations

N Guigui - 2021 - theses.hal.science
The study of anatomical shapes and deformations is of major interest in cardiology where
diseases such as arrhythmia or pulmonary hypertension cause abnormalities in the way the …