41 citations · 50 across the 10 of their papers we have counts for
9 papers · 1 filter
Demystifying Inferential Models: A Fiducial Perspective
Yifan Cui, Jan Hannig
Inferential models have recently gained in popularity for valid uncertainty quantification. In this paper, we investigate inferential models by exploring relationships between infe…
New Perspectives on Centering
Jack B. Prothero, Jan Hannig, J. S. Marron
Data matrix centering is an ever-present yet under-examined aspect of data analysis. Functional data analysis (FDA) often operates with a default of centering such that the vectors…
Generalized fiducial factor: an alternative to the Bayes factor for forensic identification of source problems
Jonathan P Williams, Danica M Ommen, Jan Hannig
One formulation of forensic identification of source problems is to determine the source of trace evidence, for instance, glass fragments found on a suspect for a crime. The curren…
Deep Fiducial Inference
Gang Li, Jan Hannig
Since the mid-2000s, there has been a resurrection of interest in modern modifications of fiducial inference. To date, the main computational tool to extract a generalized fiducial…
Uncertainty Quantification in Ensembles of Honest Regression Trees using Generalized Fiducial Inference
Suofei Wu, Jan Hannig, Thomas C. M. Lee
Due to their accuracies, methods based on ensembles of regression trees are a popular approach for making predictions. Some common examples include Bayesian additive regression tre…
The EAS approach for graphical selection consistency in vector autoregression models
Jonathan P Williams, Yuying Xie, Jan Hannig
As evidenced by various recent and significant papers within the frequentist literature, along with numerous applications in macroeconomics, genomics, and neuroscience, there conti…