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20242026
most citedAutoGFI: Streamlined Generalized Fiducial Inference for Modern Inference Problems in Models with Additive Errors

2 citations · 2 across the 9 of their papers we have counts for

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stat.AP2024

Elastic Shape Analysis of Movement Data

J. E. Borgert, Jan Hannig, J. D. Tucker +6

Osteoarthritis (OA) is a highly prevalent degenerative joint disease, and the knee is the most commonly affected joint. Biomechanical factors, particularly forces exerted during wa…

q-bio.NC2024

Multi-faceted Neuroimaging Data Integration via Analysis of Subspaces

Andrew Ackerman, Zhengwu Zhang, Jan Hannig +2

Neuroimaging studies, such as the Human Connectome Project (HCP), often collect multi-faceted and multi-block data to study the complex human brain. However, these data are often a…

stat.ME2024★ 2 cited

AutoGFI: Streamlined Generalized Fiducial Inference for Modern Inference Problems in Models with Additive Errors

Wei Du, Jan Hannig, Thomas C. M. Lee +2

The concept of fiducial inference was introduced by R. A. Fisher in the 1930s to address the perceived limitations of Bayesian inference, particularly the need for subjective prior…

stat.ME2024

Dempster-Shafer P-values: Thoughts on an Alternative Approach for Multinomial Inference

Kentaro Hoffman, Kai Zhang, Tyler McCormick +1

In this paper, we demonstrate that a new measure of evidence we developed called the Dempster-Shafer p-value which allow for insights and interpretations which retain most of the s…

math.ST2024

A Bernstein-von Mises Theorem for Generalized Fiducial Distributions

J. E. Borgert, Jan Hannig

An established and growing literature on generalized fiducial inference and related fiducial ideas points to the adoption of fiducial inference as a mainstream perspective among mo…