41 citations · 73 across the 33 of their papers we have counts for
35 papers
Introduction to Generalized Fiducial Inference
Alexander C. Murph, Jan Hannig, Jonathan P. Williams
Fiducial inference was introduced in the first half of the 20th century by Fisher (1935) as a means to get a posterior-like distribution for a parameter without having to arbitrari…
Data Integration Via Analysis of Subspaces (DIVAS)
Jack B. Prothero, Meilei Jiang, Jan Hannig +3
Modern data collection in many data paradigms, including bioinformatics, often incorporates multiple traits derived from different data types (i.e. platforms). We call this data mu…
Algorithm for detection of illegal discounting in North Carolina Education Lottery
Jiayi Fu, Jack B Prothero, Jan Hannig
The lottery is a very lucrative industry. Popular fascination often focuses on the largest prizes. However, less attention has been paid to detecting unusual lottery buying behavio…
A Geometric Perspective on Bayesian and Generalized Fiducial Inference
Yang Liu, Jan Hannig, Alexander C Murph
Post-data statistical inference concerns making probability statements about model parameters conditional on observed data. When a priori knowledge about parameters is available, p…
Generalized Fiducial Inference on Differentiable Manifolds
Alexander C Murph, Jan Hannig, Jonathan P Williams
We introduce a novel approach to inference on parameters that take values in a Riemannian manifold embedded in a Euclidean space. Parameter spaces of this form are ubiquitous acros…
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…