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

Nature communications, 2022-10, Vol.13 (1), p.6336-12, Article 6336

2022

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An Approach to Incorporate Subsampling Into a Generic Bayesian Hierarchical Model

Journal of computational and graphical statistics, 2021, Vol.30 (4), p.889-905

Bradley, Jonathan R.

2021

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Global–local shrinkage multivariate logit-beta priors for multiple response-type data

Statistics and computing, 2024-04, Vol.34 (2), Article 70

2024

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

Journal of the American Statistical Association, 2020-12, Vol.115 (532), p.2037-2052

2020

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

Journal of applied statistics, 2023-10, Vol.50 (13), p.2701-2716

2023

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Boundary Detection Using a Bayesian Hierarchical Model for Multiscale Spatial Data

Technometrics, 2021-01, Vol.63 (1), p.64-76

2021

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Bayesian hierarchical modeling for bivariate multiscale spatial data with application to blood test monitoring

Spatial and spatio-temporal epidemiology, 2024-08, Vol.50, p.100661, Article 100661

2024

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Criterion constrained Bayesian hierarchical models

Test (Madrid, Spain), 2023-03, Vol.32 (1), p.294-320

2023

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

Statistical methods in medical research, 2021-02, Vol.30 (2), p.508-522

2021

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

Journal of the American Statistical Association, 2023-01, Vol.118 (541), p.84-96

2023

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Computationally Efficient Multivariate Spatio-Temporal Models for High-Dimensional Count-Valued Data (with Discussion)

Bayesian analysis, 2018-03, Vol.13 (1)

2018

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

Journal of the American Statistical Association, 2016-06, Vol.111 (514), p.472-487

2016

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MULTIVARIATE SPATIO-TEMPORAL MODELS FOR HIGH-DIMENSIONAL AREAL DATA WITH APPLICATION TO LONGITUDINAL EMPLOYER-HOUSEHOLD DYNAMICS

The annals of applied statistics, 2015-12, Vol.9 (4), p.1761-1791

2015

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

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2017-06, Vol.79 (3), p.815-832

2017

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

Stat (International Statistical Institute), 2021-12, Vol.10 (1), p.n/a

2021

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

Journal of time series analysis, 2019-05, Vol.40 (3), p.363-382

2019

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Bayesian Inference for Spatial Count Data that May be Over-Dispersed or Under-Dispersed with Application to the 2016 US Presidential Election

Journal of Data Science, 2022-07, Vol.20 (3), p.325-337

2022

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Comparing and selecting spatial predictors using local criteria

Test (Madrid, Spain), 2015-03, Vol.24 (1), p.1-28

2015

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Spatio-temporal change of support modeling with R

Computational statistics, 2021-03, Vol.36 (1), p.749-780

2021

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Rejoinder on: Comparing and selecting spatial predictors using local criteria

Test (Madrid, Spain), 2015-03, Vol.24 (1), p.54-60

2015

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Generating Independent Replicates Directly from the Posterior Distribution for a Class of Spatial Hierarchical Models

Journal of computational and graphical statistics, 2024-08, p.1-17

2024

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

Bayesian analysis, 2022-03, Vol.17 (1)

Bradley, Jonathan R.

2022

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Spatio-temporal change of support with application to American Community Survey multi-year period estimates

Stat (International Statistical Institute), 2015, Vol.4 (1), p.255-270

2015

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Incorporating Subsampling into Bayesian Models for High-Dimensional Spatial Data

Bayesian analysis, 2024-01, Vol.1 (1)

2024

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

Stat (International Statistical Institute), 2016, Vol.5 (1), p.224-233

2016

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

An Approach to Incorporate Subsampling Into a Generic Bayesian Hierarchical Model

Global–local shrinkage multivariate logit-beta priors for multiple response-type data

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

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

Boundary Detection Using a Bayesian Hierarchical Model for Multiscale Spatial Data

Bayesian hierarchical modeling for bivariate multiscale spatial data with application to blood test monitoring

Criterion constrained Bayesian hierarchical models

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

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

Computationally Efficient Multivariate Spatio-Temporal Models for High-Dimensional Count-Valued Data (with Discussion)

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

MULTIVARIATE SPATIO-TEMPORAL MODELS FOR HIGH-DIMENSIONAL AREAL DATA WITH APPLICATION TO LONGITUDINAL EMPLOYER-HOUSEHOLD DYNAMICS

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

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

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

Bayesian Inference for Spatial Count Data that May be Over-Dispersed or Under-Dispersed with Application to the 2016 US Presidential Election

Comparing and selecting spatial predictors using local criteria

Spatio-temporal change of support modeling with R

Rejoinder on: Comparing and selecting spatial predictors using local criteria

Generating Independent Replicates Directly from the Posterior Distribution for a Class of Spatial Hierarchical Models

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

Spatio-temporal change of support with application to American Community Survey multi-year period estimates

Incorporating Subsampling into Bayesian Models for High-Dimensional Spatial Data

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

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