Jonathan Williams

Works (7)

Updated: May 20th, 2024 08:02

2023 journal article

A PENALIZED COMPLEXITY PRIOR FOR DEEP BAYESIAN TRANSFER LEARNING WITH APPLICATION TO MATERIALS INFORMATICS

ANNALS OF APPLIED STATISTICS, 17(4), 3241–3256.

By: M. Abba n, J. Williams n & B. Reich n

author keywords: Kullback-Leibler divergence; materials science; neural networks; variational Bayesian inference
TL;DR: This work proposes a new Bayesian transfer learning approach based on the penalized complexity prior on the Kullback-Leibler divergence between the predictive models of the source and target tasks and shows that the proposed method outperforms other transfer learning methods across a variety of settings. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: March 25, 2024

2023 journal article

GENERALIZED FIDUCIAL FACTOR: AN ALTERNATIVE TO THE BAYES FACTOR FOR FORENSIC IDENTIFICATION OF SOURCE PROBLEMS

ANNALS OF APPLIED STATISTICS, 17(1), 378–402.

By: J. Williams n, D. Ommen* & J. Hannig*

author keywords: Bayes factor; generalized fiducial inference; likelihood ratio
TL;DR: This work develops an alternative to the Bayes factor, within the framework of generalized fiducial inference (GFI), that is term a GFF (GFF), and demonstrates empirically, on the synthetic and real Netherlands Forensic Institute casework data, deficiencies in the BF and classical/frequentist likelihood ratio (LR) approaches. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (Web of Science; OpenAlex)
Source: Web Of Science
Added: March 13, 2023

2023 journal article

The EAS approach to variable selection for multivariate response data in high-dimensional settings

ELECTRONIC JOURNAL OF STATISTICS, 17(2), 1947–1995.

By: S. Koner* & J. Williams n

author keywords: and phrases; Generalized fiducial inference; model selection; regularized regression; asymptotic consistency
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 21, 2023

2022 article

The EAS approach for graphical selection consistency in vector autoregression models

Williams, J. P., Xie, Y., & Hannig, J. (2022, September 27). CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE.

By: J. Williams n, Y. Xie* & J. Hannig*

author keywords: Empirical Bayes; generalized fiducial inference; graph selection; high-dimensional model selection; large-sample properties
Source: Web Of Science
Added: October 11, 2022

2021 journal article

Can Administrative Health Data Improve the Gold Standard? Evidence from a Model of the Progression of Myocardial Infarction

INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 18(14).

By: S. Nghiem*, J. Williams n, C. Afoakwah*, Q. Huynh*, S. Ng* & J. Byrnes*

author keywords: administrative data; myocardial infarction; disease progression; Australia
MeSH headings : Aged; Bayes Theorem; Female; Hospitalization; Humans; Male; Myocardial Infarction / epidemiology; Non-ST Elevated Myocardial Infarction; Risk Factors; ST Elevation Myocardial Infarction
TL;DR: This study shows that administrative health data were useful to estimate factors determining the risk of MI and the progression of this health condition and shows that misclassification may cause the incidence of MI to be under-estimated. (via Semantic Scholar)
Source: Web Of Science
Added: August 2, 2021

2021 article

Discussion of "A Gibbs Sampler for a Class of Random Convex Polytopes"

Williams, J. P. (2021, July 3). JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, Vol. 116, pp. 1198–1200.

By: J. Williams n

Source: Web Of Science
Added: June 6, 2022

2019 journal article

Diagnostic utility of clinical and laboratory test parameters for differentiating between sudden acquired retinal degeneration syndrome and pituitary‐dependent hyperadrenocorticism in dogs

Veterinary Ophthalmology, 22(6), 842–858.

By: A. Oh n, M. Foster n, J. Williams n, C. Zheng n, H. Ru n, K. Lunn n, F. Mowat n

author keywords: biomarker; dog; hyperadrenocorticism; retina; sudden acquired retinal degeneration syndrome
MeSH headings : Animals; Case-Control Studies; Dog Diseases / diagnosis; Dogs; Electroretinography / veterinary; Female; Male; Pituitary ACTH Hypersecretion / diagnosis; Pituitary ACTH Hypersecretion / veterinary; Retina / pathology; Retinal Degeneration / diagnosis; Retinal Degeneration / veterinary; Tomography, Optical Coherence / veterinary
TL;DR: This work provides the basis for future studies that could identify and examine dogs with SARDS prior to vision loss, which may extend the potential therapeutic window for SARDS. (via Semantic Scholar)
UN Sustainable Development Goal Categories
10. Reduced Inequalities (OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries, Crossref
Added: December 16, 2019

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