Jonathan R. Bradley

Recent News and Upcoming Events:

• Recent NSF-DMS award: Bayesian Model Selection and Model Combination Using Novel Developments of Stein's Unbiased Risk Estimator

• 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

  • 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. 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:

  • 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 J. R. 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.

  • S. Zhou and J. R. Bradley (2026). Multiscale Multi-Type Spatial Bayesian Analysis for High-Dimensional Data with Application to Wildfires and Migration.  Environmetrics. 37: e70066