Satyajit Dhadumia

collaborators

2 papers

math.ST2026

Generalized Cramér-Rao Inequalities Associated with $(h, τ)$ -Divergence and $(h, τ)$ -Exponential Family

Satyajit Dhadumia

The Kullback-Leibler (KL) divergence and exponential family have laid the foundation for information geometry and have been widely generalized. Using Eguchi's theory, the Fisher in…

math.ST2025

A Generalized Cramér-Rao Bound Using Information Geometry

Satyajit Dhadumia, M. Ashok Kumar

In information geometry, statistical models are considered as differentiable manifolds, where each probability distribution represents a unique point on the manifold. A Riemannian…

Generalized Cramér-Rao Inequalities Associated with (h,τ)-Divergence and (h,τ)-Exponential Family

A Generalized Cramér-Rao Bound Using Information Geometry

Generalized Cramér-Rao Inequalities Associated with $(h, τ)$ -Divergence and $(h, τ)$ -Exponential Family