Article

A Layered Information-Geometric Framework for Stable Estimation Under Missing and Heteroscedastic Observations

2026-04-22

Abstract excerpt

We investigate the problem of stable signal estimation under irregular observation conditions characterized by missing samples, heteroscedastic noise, and reportability constraints. In such environments, the primary engineering challenge arises from the severe curvature distortion of the objective landscape, which renders traditional Euclidean gradient methods numerically unstable. To address this, we propose a la...

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Literature Corpus work: f27b3592-cf4f-507a-a932-ec917ed1b312
DOI: 10.20944/preprints202604.1573.v1

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