2 citations · 2 across the 9 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…
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,…