Constructing Exact Confidence Regions on Parameter Manifolds of Non-Linear Models

Rafael Arutjunjan; Bjoern Malte Schaefer; Clemens Kreutz

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arXiv · 2211.03421

Constructing Exact Confidence Regions on Parameter Manifolds of Non-Linear Models

Rafael Arutjunjan·Bjoern Malte Schaefer·Clemens Kreutz

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Abstract

Using the mathematical framework of information geometry, we introduce a novel method which allows one to efficiently determine the exact shape of simultaneous confidence regions for non-linearly parametrised models. Furthermore, we show how pointwise confidence bands around the model predictions can be constructed from detailed knowledge of the exact confidence region with little additional computational effort. We exemplify our methods using inference problems in cosmology and epidemic modelling. An open source implementation of the developed schemes is publicly available via the InformationGeometry.jl package for the Julia programming language.

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Rafael Arutjunjan, Bjoern Malte Schaefer, Clemens Kreutz. 2022-11-07. Constructing Exact Confidence Regions on Parameter Manifolds of Non-Linear Models. https://arxiv.org/abs/2211.03421

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