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
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Jonathan R. Bradley
Jonathan R. Bradley
Recent News and Upcoming Events:
I am happy to announce that I am starting a new position at the University of Missouri starting Fall 2025.
Recent pre-prints:
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
Soumyakanti Pan, Lu Zhang, Jonathan R. Bradley, Sudipto Banerjee (2024). Bayesian Inference for Spatial-temporal Non-Gaussian Data Using Predictive Stacking. arXiv preprint: https://arxiv.org/abs/2406.04655.
Hunter J. Melton, Jonathan R. Bradley, Chong Wu (2024). A Zero-Inflated Hierarchical Generalized Transformation Model to Address Non-Normality in Spatially-Informed Cell-Type Deconvolution. bioRxiv preprint doi: https://doi.org/10.1101/2024.06.24.600480
Jonathan R. Bradley (2024). Spatial Deconfounding is Reasonable Statistical Practice: Interpretations, Clarifications, and New Benefits. arXiv preprint: https://arxiv.org/abs/2408.05106.
S. Zhou and J. R. Bradley (2024). Multiscale Multi-Type Spatial Bayesian Analysis of Wildfires and Population Change That Avoids MCMC and Approximating the Posterior Distribution. arXiv preprint: https://arxiv.org/abs/2410.02905
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:
Bradley, JR, and Clinch, M (2025). Generating Independent Replicates Directly from the Posterior Distribution for a Class of Spatial Hierarchical Models. Journal of Computational and Graphical Statistics. 34: 123–139.
M. Clinch and J. R. Bradley (2025+). Exact Bayesian Inference for Multivariate Spatial Data of Any Size with Application to Air Pollution Monitoring. Journal of Agricultural, Biological, and Environmental Statistics.
Saha, S and Bradley, JR (2025+). Incorporating Subsampling into Bayesian Models for High-Dimensional Spatial Data. Bayesian Analysis.
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