James E. Stafford

University of Toronto — Canada

Mathematics · Physical Sciences

19h-index1.2kcitations116works0.12yr avg
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Research Topics

Statistical Methods and Inference(15), Statistical Methods and Bayesian Inference(15), Advanced Statistical Methods and Models(11), Bayesian Methods and Mixture Models(7), Gaussian Processes and Bayesian Inference(7)

Publications116 total

Inhibition of Mitochondrial ROS Scavenging as a Novel Vulnerability in Diffuse Midline Glioma
Free Radical Biology and Medicine·2025
Local Polynomial $$L_p$$-norm Regression
Statistics and Computing·2025
Local Polynomial Lp-norm Regression
arXiv (Cornell University)·2025Open Access
Efficient modeling of quasi-periodic data with seasonal Gaussian process
Statistics and Computing·2025· 1 cited
Efficient Modeling of Quasi-Periodic Data with Seasonal Gaussian Process
2024Open Access
The root-Gaussian Cox Process for spatial-temporal disease mapping with aggregated data
Computational Statistics·2024Open Access
Model-Based Smoothing with Integrated Wiener Processes and Overlapping Splines
Figshare·2024Open Access
Model-Based Smoothing with Integrated Wiener Processes and Overlapping Splines
Journal of Computational and Graphical Statistics·2023· 5 citedOpen Access
Efficient Modeling of Quasi-Periodic Data with Seasonal Gaussian Process
2023Open Access
Efficient Modeling of Quasi-Periodic Data with Seasonal Gaussian Process
arXiv (Cornell University)·2023Open Access
Model-based Smoothing with Integrated Wiener Processes and Overlapping Splines
arXiv (Cornell University)·2023Open Access
Model-based Smoothing with Integrated Wiener Processes and Overlapping Splines
Figshare·2023Open Access
Bayesian inference for Cox proportional hazard models with partial likelihoods, nonlinear covariate effects and correlated observations
Statistical Methods in Medical Research·2022· 6 citedOpen Access
Fast, Scalable Approximations to Posterior Distributions in Extended Latent Gaussian Models
Journal of Computational and Graphical Statistics·2022· 17 citedOpen Access
Fast, Scalable Approximations to Posterior Distributions in Extended Latent Gaussian Models
Figshare·2022Open Access
Introduction
Global studies·2021Open Access
The root-Gaussian Cox process and a generalized EMS algorithm
Spatial Statistics·2021· 1 citedOpen Access
Approximate Bayesian inference for case‐crossover models
Biometrics·2020· 9 cited
Data sharpening via firth’s adjusted score function
Statistics & Probability Letters·2020· 1 cited
Abstract LB-104: Epigenetic and transcriptional alterations as potential vulnerabilities of diffuse intrinsic pontine glioma (DIPG)
Molecular and Cellular Biology / Genetics·2019
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Frequent Co-authors

Patrick Brown(8), David Andrews(6), Ben M. Enis(4), Alex Stringer(4), David R. Bellhouse(3), D. Watson(3), Keith K. Cox(2), R. F. Palmer(2), L.S. Jackson(2), Paul Nguyen(2), Nathalie Saint‐Jacques(2), Jonathan S. W. Lee(2), Ziang Zhang(2), Simon J. Lees(2), Lucia Mirea(2), Shelley B. Bull(2), Andrew Jardine(1), Patricia Ralston(1), Nadine Reid(1), D. A. Shepherd(1)