Jonathan R. Bradley
Recent News and Upcoming Events:
New NSF-DMS grant awarded on, “Developing Conjugate Models for Exact MCMC free Bayesian Inference with Application to High-Dimensional Spatio-Temporal Data”.
Congratulations to Dr. Hunter Melton who recently graduated!
Recent pre-prints:
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
The following articles have been recently accepted or published:
Bradley, JR, and Clinch, M (2024+). Generating Independent Replicates Directly from the Posterior Distribution for a Class of Spatial Hierarchical Models. Journal of Computational and Graphical Statistics.
Zhou, S and Bradley, JR (2024+). Bayesian Hierarchical Modeling for Bivariate Multiscale Spatial Data with Application to Blood Test Monitoring. Spatial and Spatiotemporal Epidemiology.
Saha, S and Bradley, JR (2024+). Incorporating Subsampling into Bayesian Models for High-Dimensional Spatial Data. Bayesian Analysis.
Wu, H and Bradley, JR. (2024). Global-Local Shrinkage Multivariate Logit-Beta Priors for Multiple Response-Type Data. Statistics and Computing. 34: 1-14.