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| Shin M, Bhattachrya A, Johnson VE. (2020) Functional Horseshoe Priors for Subspace Shrinkage. Journal of the American Statistical Association. 115: 1784-1797 |
| Nikooienejad A, Wang W, Johnson VE. (2020) Bayesian variable selection for survival data using inverse moment priors Annals of Applied Statistics. 14: 809-828 |
| Nikooienejad A, Johnson VE. (2020) On the Existence of Uniformly Most Powerful Bayesian Tests With Application to Non-Central Chi-Squared Tests Bayesian Analysis |
| Khazraee SH, Johnson V, Lord D. (2018) Bayesian Poisson hierarchical models for crash data analysis: Investigating the impact of model choice on site-specific predictions. Accident; Analysis and Prevention. 117: 181-195 |
| Shin M, Bhattacharya A, Johnson VE. (2018) Scalable Bayesian Variable Selection Using Nonlocal Prior Densities in Ultrahigh-dimensional Settings. Statistica Sinica. 28: 1053-1078 |
| Johnson VE, Payne RD, Wang T, et al. (2017) On the Reproducibility of Psychological Science. Journal of the American Statistical Association. 112: 1-10 |
| Goddard SD, Johnson VE. (2016) Restricted most powerful Bayesian tests for linear models Scandinavian Journal of Statistics. 43: 1162-1177 |
| Goddard SD, Johnson VE. (2015) The lack of reproducibility in research: How statistics can endorse results Metode. 175-179 |
| Liu S, Yuan Y, Castillo R, et al. (2014) Evaluation of image registration spatial accuracy using a Bayesian hierarchical model. Biometrics. 70: 366-77 |
| Jun M, Katzfuss M, Hu J, et al. (2014) Assessing fit in Bayesian models for spatial processes Environmetrics. 25: 584-595 |