Frontend
Group Invariance of Statistical Models and Associated Statistical Manifolds
arXiv stat.TH0 views
arXiv:2611.09087v1 Announce Type: new Abstract: We study the group invariance of a parameterized statistical model that is closed under push-forward sample transformations given by a group action. We prove that the group action on the sample space induces an isometric action on the associated statistical manifold. Furthermore, it preserves the Fisher-Rao metric as well as the Amari-Chentsov tensor. Moreover, we establish that this isometric action is compatible with equivariant and sufficient statistics in the spirit of the Hall-Wijsman-Ghosh generalized Stein's theorem. This compatibility leads to a novel reduction of the original group-invariant model, where its Fisher information loss is explicitly quantified via conditional expectation. As an application, we apply this framework to a generalized cardioid distribution in circular data analysis, illustrating how the reduced model facilitates estimation and hypothesis testing for relative parameters.
Source:https://arxiv.org/abs/2611.09087PreviousExact optimality of augmented order-of-addition designsNextByzantine-Robust Distributed Sparse Softmax Regression
Related posts

Construction Estimation as a Career: Skills, Tools, and Growth Path
0dev.to Career
Meet Mohammad Sazzad: Full-Stack Developer and Co-Founder of Nomira Digital
0dev.to Career
Can you register for Claude Certified Architect (CCA-F / CCAR-F) without a partner?
0dev.to Career
Stamping the downloader's email on every PDF page at download time in PHP
0dev.to PHP
What Photo Works Best for a Hit the Road Dude AI Video? A Python Pre-Upload Check for Format, Size, Blur and Exposure
0dev.to Beginners
PowerShell ForEach-Object vs foreach: The Real Difference (and Why return Doesn't Stop Your Loop)
0dev.to Beginners