Jonathan Bradley Research

Jonathan R. Bradley

Associate Professor

Associate Director, Center for Spatio-Temporal Statistics in AIDepartment of Statistics and Data Science, University of MissouriFellow of the American Statistical Association

Office: 134J Middlebush HallMail: 146 Middlebush Hall, Columbia, MO 65211Email: bradleyjr@missouri.eduEducation:Ph.D., Statistics, The Ohio State University, Columbus, OH, 2013M.S., Statistics, The Ohio State University, Columbus, OH, 2010B.S., Applied Statistics, Rochester Institute of Technology, Rochester, NY, 2008

Jonathan Bradley's CV

Recent News and Upcoming Events:

Recent pre-prints:
- Seulki Lee and Jonathan R. Bradley. (2026). An Analysis of High-Dimensional Land-Water Transitions in the Great Lakes via a Bayesian Discrepancy Model for Multinomial Data. arXiv preprint: https://arxiv.org/abs/2610.38916
- Jaiyool Kim, Indrabati Bhattacharya, Jonathan R. Bradley. (2026). A Subjective Bayesian Approach to Address Unchecked Assumptions in a Causal Analysis. arXiv preprint: https://arxiv.org/abs/2610.31587.
- Zewei Kong, Paul A. Parker, Jonathan R. Bradley, Scott H. Holan. (2026). A Bayesian Approach to Unit-level Dependent Multi-type Survey Data. arXiv preprint: https://arxiv.org/abs/2604.15217.
- Jonathan R. Bradley (2026). On Reasonable Uses of the Restricted Spatial Regression Model: Selection Criteria, Robust Adjustments, and Computational Advances. arXiv preprint: https://arxiv.org/abs/2408.05106.
- Clinch, M and Bradley, JR (2025). An Efficient Class of Bayesian Generalized Quadratic Nonlinear Dynamic Models with Application to Birth Rate Monitoring. arXiv preprint: https://arxiv.org/abs/2506.22188
- Ranadeep Daw, Jonathan R. Bradley, Christopher K. Wikle, Scott H. Holan (2025). A Criterion for Aggregation Error for Multivariate Spatial Data. arXiv preprint: https://arxiv.org/abs/2312.12287
- S. Saha and J. R. Bradley (2024). Markov Random Fields with Proximity Constraints for Spatial Data. arXiv preprint: https://arxiv.org/abs/2410.13164
The following articles have been recently accepted or published:
- Clinch, M, Bradley, JR, Barrientos, AF, and Page, GL (2026+). Bayesian Analysis Using a Constrained Mixture of Normal-Inverse-Gamma Models. arXiv preprint: https://arxiv.org/abs/2606.23435. Statistics and Computing.
- S Pan, L Zhang, JR Bradley, S Banerjee (2026+). Bayesian Inference for Spatial-temporal Non-Gaussian Data Using Predictive Stacking. Bayesian Analysis.
- M Clinch and JR Bradley (2026+). Exact Bayesian Inference for Multivariate Spatial Data of Any Size with Application to Air Pollution Monitoring. Journal of Agricultural, Biological, and Environmental Statistics.
- HJ Melton, JR Bradley, C Wu (2026). A Zero-Inflated Hierarchical Generalized Transformation Model to Address Non-Normality in Spatially-Informed Cell-Type Deconvolution. Biometrics. 82: ujag055.
- S Zhou and JR Bradley (2026). Multiscale Multi-Type Spatial Bayesian Analysis for High-Dimensional Data with Application to Wildfires and Migration. Environmetrics. 37: e70066

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