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Jonathan R Bradley

Showing results (1-10 of 9) with videos related to

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Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|May 4, 2023
An Approach to Incorporate Subsampling into a Generic Bayesian Hierarchical ModelJonathan R Bradley
Spatial and Spatio-Temporal Epidemiology|August 24, 2024
Bayesian hierarchical modeling for bivariate multiscale spatial data with application to blood test monitoringShijie Zhou, Jonathan R Bradley
Journal of Applied Statistics|September 18, 2023
Bayesian models for spatial count data with informative finite populations with application to the American community surveyKai Qu, Jonathan R Bradley
Stat|June 6, 2022
Empirical Bayesian Analysis Through the Lens of a Particular Class of Constrained Bayesian Hierarchical ModelsJonathan R Bradley, Qingying Zong
Statistical Methods in Medical Research|October 14, 2020
Joint analysis of recurrence and termination: A Bayesian latent class approachZhixing Xu, Debajyoti Sinha, Jonathan R Bradley
Biometrics|April 17, 2026
A zero-inflated hierarchical generalized transformation model to address non-normality in spatially-informed cell-type deconvolutionHunter J Melton, Jonathan R Bradley, Chong Wu
Biorxiv : the Preprint Server for Biology|March 23, 2026
A Zero-Inflated Hierarchical Generalized Transformation Model to Address Non-Normality in Spatially-Informed Cell-Type DeconvolutionHunter J Melton, Jonathan R Bradley, Chong Wu
Bayesian Analysis|April 27, 2026
Bayesian Inference for Spatial-Temporal Non-Gaussian Data Using Predictive StackingSoumyakanti Pan, Lu Zhang, Jonathan R Bradley, et al.
Nature Communications|October 25, 2022
SUMMIT: An integrative approach for better transcriptomic data imputation improves causal gene identificationZichen Zhang, Ye Eun Bae, Jonathan R Bradley, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|May 4, 2023
An Approach to Incorporate Subsampling into a Generic Bayesian Hierarchical ModelJonathan R Bradley
Spatial and Spatio-Temporal Epidemiology|August 24, 2024
Bayesian hierarchical modeling for bivariate multiscale spatial data with application to blood test monitoringShijie Zhou, Jonathan R Bradley
Journal of Applied Statistics|September 18, 2023
Bayesian models for spatial count data with informative finite populations with application to the American community surveyKai Qu, Jonathan R Bradley
Stat|June 6, 2022
Empirical Bayesian Analysis Through the Lens of a Particular Class of Constrained Bayesian Hierarchical ModelsJonathan R Bradley, Qingying Zong
Statistical Methods in Medical Research|October 14, 2020
Joint analysis of recurrence and termination: A Bayesian latent class approachZhixing Xu, Debajyoti Sinha, Jonathan R Bradley
Biometrics|April 17, 2026
A zero-inflated hierarchical generalized transformation model to address non-normality in spatially-informed cell-type deconvolutionHunter J Melton, Jonathan R Bradley, Chong Wu
Biorxiv : the Preprint Server for Biology|March 23, 2026
A Zero-Inflated Hierarchical Generalized Transformation Model to Address Non-Normality in Spatially-Informed Cell-Type DeconvolutionHunter J Melton, Jonathan R Bradley, Chong Wu
Bayesian Analysis|April 27, 2026
Bayesian Inference for Spatial-Temporal Non-Gaussian Data Using Predictive StackingSoumyakanti Pan, Lu Zhang, Jonathan R Bradley, et al.
Nature Communications|October 25, 2022
SUMMIT: An integrative approach for better transcriptomic data imputation improves causal gene identificationZichen Zhang, Ye Eun Bae, Jonathan R Bradley, et al.
Pageof 1