8 papers
Evaluating Gender Wage Inequality in Academia using Causal Inference Methods for Observational Data
Zihan Zhang, Jan Hannig
Observational studies often present challenges for causal inference due to confounding and heterogeneity. In this paper, we illustrate how modern causal inference methods can be ap…
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…
Advanced Distribution Theory for Significance in Scale Space
Rui Liu, Jan Hannig, J. S. Marron
Smoothing methods find signals in noisy data. A challenge for Statistical inference is the choice of smoothing parameter. SiZer addressed this challenge in one-dimension by detecti…
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…
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,…
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…