J. Bradley

发表

An R Package for Spatio-Temporal Change of Support

Andrew M. Raim, C. Wikle, S. Holan, 2019, 1904.12092.

Multivariate spatio‐temporal survey fusion with application to the American Community Survey and Local Area Unemployment Statistics

C. Wikle, S. Holan, J. Bradley, 2016 .

Bayesian Hierarchical Models With Conjugate Full-Conditional Distributions for Dependent Data From the Natural Exponential Family

C. Wikle, S. Holan, J. Bradley, 2017, 1701.07506.

Hierarchical Models for Spatial Data with Errors that are Correlated with the Latent Process

C. Wikle, S. Holan, J. Bradley, 2019, Statistica Sinica.

A Bayesian spatial–temporal model with latent multivariate log‐gamma random effects with application to earthquake magnitudes

J. Bradley, Guanyu Hu, 2018 .

Multi-rubric Models for Ordinal Spatial Data with Application to Online Ratings from Yelp

A. Desai, J. Bradley, A. Linero, 2017, 1706.03012.

Latent multivariate log-gamma models for high-dimensional MultiType responses with application to daily fine particulate matter and mortality counts

D. Sinha, J. Bradley, Zhixing Xu, 2019, The Annals of Applied Statistics.

Multi-rubric models for ordinal spatial data with application to online ratings data

A. Desai, J. Bradley, A. Linero, 2018, The Annals of Applied Statistics.

Local spatial-predictor selection

Noel A Cressie, Jonathan R. Bradley, Tao Shi, 2013 .

Computationally Efficient Distribution Theory for Bayesian Inference of High-Dimensional Dependent Count-Valued Data

C. Wikle, S. Holan, J. Bradley, 2015, 1512.07273.

Efficiently Generating Independent Samples Directly from the Posterior Distribution for a Large Class of Bayesian Generalized Linear Mixed Effects Models

J. Bradley, 2022, 2203.10028.

What Is Benford's Law?

D. Farnsworth, J. Bradley, 2009 .

Interpolating Population Distributions using Public-use Data with Application to the American Community Survey.

C. Wikle, S. Holan, J. Bradley, 2018 .

NCRN Meeting Fall 2014: Mixed Effects Modeling for Multivariate-Spatio-Temporal Areal Data

C. Wikle, S. Holan, J. Bradley, 2014 .

An Overview of Univariate and Multivariate Karhunen Loève Expansions in Statistics

C. Wikle, S. Holan, J. Bradley, 2022, Journal of the Indian Society for Probability and Statistics.

Efficiently Generating Independent Samples Directly from the Posterior Distribution for a Large Class of Bayesian Generalized Linear Mixed Effects Models

J. Bradley, 2022, 2203.10028.

Spatio‐temporal models for big multinomial data using the conditional multivariate logit‐beta distribution

Jonathan R. Bradley, Christopher K. Wikle, Scott H. Holan, 2018, Journal of Time Series Analysis.

Bayesian models for spatial count data with informative finite populations with application to the American community survey

Kai Qu, J. Bradley, 2022, Journal of Applied Statistics.

Criterion constrained Bayesian hierarchical models

J. Bradley, Qingying Zong, 2022, TEST.

Bayesian Hierarchical Models For Multi-type Survey Data Using Spatially Correlated Covariates Measured With Error

C. Wikle, S. Holan, J. Bradley, 2022, 2211.09797.

Spatio-temporal change of support modeling with R

Andrew M. Raim, C. Wikle, S. Holan, 2020, Computational Statistics.

Comparing and selecting spatial predictors using local criteria

N. Cressie, Tao Shi, J. Bradley, 2014, TEST.

Bypassing Markov Chains for Bayesian Generalized Linear Mixed Effects Models

J. Bradley, 2022, 2203.10028.

Joint Bayesian Analysis of Multiple Response-Types Using the Hierarchical Generalized Transformation Model

Jonathan R. Bradley, J. Bradley, 2020, Bayesian Analysis.

Bayesian analysis of count-valued, binary-valued, and continuous-valued responses using unknown transformations

J. Bradley, 2020 .

Joint spatio-temporal analysis of multiple response types using the hierarchical generalized transformation model with application to coronavirus disease 2019 and social distancing

Jonathan R. Bradley, J. Bradley, 2020, 2002.09983.

Bayesian analysis of areal data with unknown adjacencies using the stochastic edge mixed effects model

Jonathan R. Bradley, Heli Gao, J. Bradley, 2019, Spatial Statistics.

Regionalization of multiscale spatial processes by using a criterion for spatial aggregation error

Jonathan R. Bradley, Christopher K. Wikle, Scott H. Holan, 2015, 1502.01974.

Interpolating Distributions for Populations in Nested Geographies using Public-use Data with Application to the American Community Survey

C. Wikle, S. Holan, J. Bradley, 2018 .

SUMMIT: An integrative approach for better transcriptomic data imputation improves causal gene identification

J. Bradley, Lang Wu, Chong Wu, 2021, Nature Communications.

Empirical Bayesian analysis through the lens of a particular class of constrained Bayesian hierarchical models

Jonathan R Bradley, Qingying Zong, J. Bradley, 2021, Stat.

Boundary Detection Using a Bayesian Hierarchical Model for Multiscale Spatial Data

Xufeng Niu, Kai Qu, Jonathan R. Bradley, 2019, Technometrics.

Interpolating Population Distributions using Public-Use Data: An Application to Income Segregation using American Community Survey Data

C. Wikle, S. Holan, J. Bradley, 2018, Journal of the American Statistical Association.

A comparison of spatial predictors when datasets could be very large

Jonathan R. Bradley, Noel Cressie, Tao Shi, 2014, 1410.7748.

Constrained Bayesian Hierarchical Models for Gaussian Data: A Model Selection Criterion Approach

Jonathan R. Bradley, Qingying Zong, J. Bradley, 2021, 2104.10222.

Comparing and selecting spatial predictors using local criteria

Noel A Cressie, Jonathan R. Bradley, Tao Shi, 2015 .

Multivariate spatio-temporal models for high-dimensional areal data with application to Longitudinal Employer-Household Dynamics

Jonathan R. Bradley, Christopher K. Wikle, Scott H. Holan, 2015, 1503.00982.

Spatio-temporal change of support modeling with R

Jonathan R. Bradley, Christopher K. Wikle, Scott H. Holan, 2019, Computational Statistics.

Bayesian inference for big spatial data using non-stationary spectral simulation

Jonathan R. Bradley, Hou-Cheng Yang, J. Bradley, 2020, Spatial Statistics.

Testing for a Zero Proportion

Jonathan R. Bradley, David L. Farnsworth, D. Farnsworth, 2013 .

Testing for Mutual Exclusivity

Jonathan R. Bradley, David L. Farnsworth, D. Farnsworth, 2009 .

Generating Independent Replicates Directly from the Posterior Distribution for a Class of Spatial Latent Gaussian Process Models

J. Bradley, Madelyn Clinch, 2022, 2203.10028.

Bayesian Spatial Change of Support for Count-Valued Survey Data With Application to the American Community Survey

Jonathan R. Bradley, Christopher K. Wikle, Scott H. Holan, 2014, 1405.7227.

Deep hierarchical generalized transformation models for spatio-temporal data with discrepancy errors

J. Bradley, Xu Liu, Shijie Zhou, 2023, Spatial Statistics.

An Approach to Incorporate Subsampling Into a Generic Bayesian Hierarchical Model

Jonathan R. Bradley, J. Bradley, 2021, J. Comput. Graph. Stat..

Mixed Effects Modeling for Areal Data that Exhibit Multivariate-Spatio-Temporal Dependencies

Jonathan R. Bradley, Christopher K. Wikle, Scott H. Holan, 2014, 1407.7479.

Joint analysis of recurrence and termination: A Bayesian latent class approach

Zhixing Xu, Debajyoti Sinha, Jonathan R Bradley, 2020, Statistical methods in medical research.

A Criterion for Multivariate Regionalization of Spatial Data

C. Wikle, S. Holan, J. Bradley, 2023, 2312.12287.

What is the best predictor that you can compute in five minutes using a given Bayesian hierarchical model

Jonathan R. Bradley, J. Bradley, 2019, 1912.04542.

Selection of rank and basis functions in the Spatial Random Effects Model

Noel A Cressie, Jonathan R. Bradley, Tao Shi, 2011 .