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02/28/2023
Introduction to Generalized Fiducial Inference
Fiducial inference was introduced in the first half of the 20th century ...
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12/01/2022
Data Integration Via Analysis of Subspaces (DIVAS)
Modern data collection in many data paradigms, including bioinformatics,...
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11/22/2022
Algorithm for detection of illegal discounting in North Carolina Education Lottery
The lottery is a very lucrative industry. Popular fascination often focu...
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09/30/2022
Generalized Fiducial Inference on Differentiable Manifolds
We introduce a novel approach to inference on parameters that take value...
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05/11/2022
Demystifying Inferential Models: A Fiducial Perspective
Inferential models have recently gained in popularity for valid uncertai...
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11/28/2021
A unified nonparametric fiducial approach to interval-censored data
Censored data, where the event time is partially observed, are challengi...
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09/25/2021
Statistical Inference for Data Integration
In the age of big data, data integration is a critical step especially i...
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04/15/2021
Comments on: A Gibbs sampler for a class of random convex polytopes
In this comment we discuss relative strengths and weaknesses of simplex ...
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03/22/2021
New Perspectives on Centering
Data matrix centering is an ever-present yet under-examined aspect of da...
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01/02/2021
Visual High Dimensional Hypothesis Testing
In exploratory data analysis of known classes of high dimensional data, ...
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12/10/2020
Generalized fiducial factor: an alternative to the Bayes factor for forensic identification of source problems
One formulation of forensic identification of source problems is to dete...
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07/08/2020
Deep Fiducial Inference
Since the mid-2000s, there has been a resurrection of interest in modern...
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06/09/2020
A fiducial approach to nonparametric deconvolution problem: discrete case
Fiducial inference, as generalized by Hannig 2016 et al, is applied to n...
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12/01/2019
Joint and individual analysis of breast cancer histologic images and genomic covariates
A key challenge in modern data analysis is understanding connections bet...
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11/14/2019
Uncertainty Quantification in Ensembles of Honest Regression Trees using Generalized Fiducial Inference
Due to their accuracies, methods based on ensembles of regression trees ...
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10/04/2019
A Note on Optimal Sampling Strategy for Structural Variant Detection Using Optical Mapping
Structural variants compose the majority of human genetic variation, but...
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06/11/2019
The EAS approach for graphical selection consistency in vector autoregression models
As evidenced by various recent and significant papers within the frequen...
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11/15/2018
Subspace Clustering through Sub-Clusters
The problem of dimension reduction is of increasing importance in modern...
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02/08/2018
A Bayesian Approach to Multi-State Hidden Markov Models: Application to Dementia Progression
People are living longer than ever before, and with this arise new compl...
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04/07/2017
