J. S. Marron

University of North Carolina at Chapel Hill — United States

Mathematics · Physical Sciences

66h-index18.7kcitations259works0.52yr avg
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Research Topics

Statistical Methods and Inference(78), Advanced Statistical Methods and Models(38), Bayesian Methods and Mixture Models(37), Control Systems and Identification(22), Gene expression and cancer classification(19)

Publications259 total

Activity prediction and identification of mis‐annotated chemical compounds using extreme descriptors
UNC Libraries·2025Open Access
Extreme Value Theory for Binary Expansion Testing
UNC Libraries·2025Open Access
Interior Object Geometry via Fitted Frames
UNC Libraries·2025Open Access
Crafted experiments to evaluate feature selection methods for single-cell RNA-seq data
UNC Libraries·2025Open Access
Computation of Ancestry Scores with Mixed Families and Unrelated Individuals
UNC Libraries·2025Open Access
Significance in scale space for Hi-C data
UNC Libraries·2025Open Access
JIVE integration of imaging and behavioral data
UNC Libraries·2025Open Access
Prognostic significance of CD8+ T cell Spatial Biomarkers in ER+ and ER− breast cancer: A retrospective cohort study
PLoS Medicine·2025Open Access
Predicting early breast cancer recurrence from histopathological images in the Carolina Breast Cancer Study
UNC Libraries·2025Open Access
Interior Object Geometry via Fitted Frames
Journal of Mathematical Imaging and Vision·2025
Distance‐weighted discrimination of face images for gender classification
UNC Libraries·2025Open Access
A machine learning approach to knee osteoarthritis phenotyping: data from the FNIH Biomarkers Consortium
UNC Libraries·2025Open Access
Significance in scale space for Hi-C data
Bioinformatics·2025Open Access
Crafted experiments to evaluate feature selection methods for single-cell RNA-seq data
NAR Genomics and Bioinformatics·2025Open Access
Data integration via analysis of subspaces (DIVAS)
UNC Libraries·2024Open Access
Rejoinder on: Data integration via analysis of subspaces (DIVAS)
Test·2024
A survey of high dimension low sample size asymptotics
UNC Libraries·2024· 3 citedOpen Access
Statistical Significance for Hierarchical Clustering
UNC Libraries·2024Open Access
Region of Interest Detection in Melanocytic Skin Tumor Whole Slide Images—Nevus and Melanoma
UNC Libraries·2024Open Access
Region of Interest Detection in Melanocytic Skin Tumor Whole Slide Images—Nevus and Melanoma
Cancers·2024· 2 citedOpen Access
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Frequent Co-authors

Peter Hall(7), M. C. Jones(4), Simon J. Sheather(4), Wolfgang Karl Härdle(4), M. P. Wand(3), Todd Graves(2), Alan F. Karr(2), Andrew B. Nobel(2), Peter A. Hall(2), Charles M. Perou(2), Michael J. Todd(2), David Ruppert(2), Yufeng Liu(2), D. Neil Hayes(2), Jianqing Fan(2), Byeong U. Park(2), Probal Chaudhuri(2), C. K. Chu(2), Anuj Srivastava(2), J. O. Ramsey(1)