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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.ME2026

Generalized Fiducial Inference for Hybrid Discrete-Continuous Count Data: Theory and Application

Kendall Thomas, Jan Hannig

High-frequency athlete-tracking data can be summarized as quantile cubes (Thomas and Hannig, 2026): counts of time spent in bins of velocity, acceleration, and movement angle. In o…

stat.ME2025

Bayesian Forensic DNA Mixture Deconvolution Using a Novel String Similarity Measure

Taylor Petty, Jan Hannig, Hari Iyer

Mixture interpretation is a central challenge in forensic science, where evidence often contains contributions from multiple sources. In the context of DNA analysis, biological sam…

stat.ME2025

Movement Dynamics in Elite Female Soccer Athletes: The Quantile Cube Approach

Kendall L. Thomas, Jan Hannig

This paper presents the quantile cube, a novel three-dimensional summary representation designed to analyze external load using GPS-derived movement data. While broadly applicable,…

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…