Year |
Citation |
Score |
2020 |
Shin M, Bhattachrya A, Johnson VE. Functional Horseshoe Priors for Subspace Shrinkage. Journal of the American Statistical Association. 115: 1784-1797. PMID 33716358 DOI: 10.1080/01621459.2019.1654875 |
0.319 |
|
2020 |
Nikooienejad A, Wang W, Johnson VE. Bayesian variable selection for survival data using inverse moment priors Annals of Applied Statistics. 14: 809-828. DOI: 10.1214/20-Aoas1325 |
0.329 |
|
2020 |
Nikooienejad A, Johnson VE. On the Existence of Uniformly Most Powerful Bayesian Tests With Application to Non-Central Chi-Squared Tests Bayesian Analysis. DOI: 10.1214/19-Ba1194 |
0.308 |
|
2018 |
Khazraee SH, Johnson V, Lord D. 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. PMID 29705601 DOI: 10.1016/J.Aap.2018.04.016 |
0.313 |
|
2018 |
Shin M, Bhattacharya A, Johnson VE. Scalable Bayesian Variable Selection Using Nonlocal Prior Densities in Ultrahigh-dimensional Settings. Statistica Sinica. 28: 1053-1078. PMID 29643721 DOI: 10.5705/Ss.202016.0167 |
0.335 |
|
2017 |
Johnson VE, Payne RD, Wang T, Asher A, Mandal S. On the Reproducibility of Psychological Science. Journal of the American Statistical Association. 112: 1-10. PMID 29861517 DOI: 10.1080/01621459.2016.1240079 |
0.337 |
|
2016 |
Goddard SD, Johnson VE. Restricted most powerful Bayesian tests for linear models Scandinavian Journal of Statistics. 43: 1162-1177. DOI: 10.1111/Sjos.12235 |
0.307 |
|
2015 |
Goddard SD, Johnson VE. The lack of reproducibility in research: How statistics can endorse results Metode. 175-179. DOI: 10.7203/Metode.0.3913 |
0.316 |
|
2014 |
Liu S, Yuan Y, Castillo R, Guerrero T, Johnson VE. Evaluation of image registration spatial accuracy using a Bayesian hierarchical model. Biometrics. 70: 366-77. PMID 24575781 DOI: 10.1111/Biom.12146 |
0.323 |
|
2014 |
Jun M, Katzfuss M, Hu J, Johnson VE. Assessing fit in Bayesian models for spatial processes Environmetrics. 25: 584-595. DOI: 10.1002/Env.2315 |
0.338 |
|
2013 |
Johnson VE. On Numerical Aspects of Bayesian Model Selection in High and Ultrahigh-dimensional Settings. Bayesian Analysis (Online). 8: 741-758. PMID 24683431 DOI: 10.1214/13-Ba818 |
0.329 |
|
2012 |
Johnson VE, Rossell D. Bayesian Model Selection in High-Dimensional Settings. Journal of the American Statistical Association. 107. PMID 24363474 DOI: 10.1080/01621459.2012.682536 |
0.324 |
|
2012 |
Yuan Y, Johnson VE. Goodness-of-fit diagnostics for Bayesian hierarchical models. Biometrics. 68: 156-64. PMID 22050079 DOI: 10.1111/J.1541-0420.2011.01668.X |
0.342 |
|
2010 |
Cao J, Moosman A, Johnson VE. A Bayesian chi-squared goodness-of-fit test for censored data models. Biometrics. 66: 426-34. PMID 19645701 DOI: 10.1111/J.1541-0420.2009.01294.X |
0.351 |
|
2010 |
Johnson VE. Bayesian aggregation error? International Journal of Reliability and Safety. 4: 359-365. DOI: 10.1504/Ijrs.2010.035574 |
0.304 |
|
2010 |
Johnson VE, Rossell D. On the use of non-local prior densities in Bayesian hypothesis tests Journal of the Royal Statistical Society. Series B: Statistical Methodology. 72: 143-170. DOI: 10.1111/J.1467-9868.2009.00730.X |
0.318 |
|
2009 |
Hu J, Joshi A, Johnson VE. Log-Linear Models for Gene Association. Journal of the American Statistical Association. 104: 597-607. PMID 19655032 DOI: 10.1198/Jasa.2009.0025 |
0.311 |
|
2008 |
Hu J, Johnson VE. Bayesian model selection using test statistics. Journal of the Royal Statistical Society. Series B, Statistical Methodology. 71: 143-158. PMID 19829756 DOI: 10.1111/J.1467-9868.2008.00678.X |
0.357 |
|
2008 |
Johnson VE. Statistical analysis of the National Institutes of Health peer review system. Proceedings of the National Academy of Sciences of the United States of America. 105: 11076-80. PMID 18663221 DOI: 10.1073/Pnas.0804538105 |
0.306 |
|
2008 |
Johnson VE. Properties of bayes factors based on test statistics Scandinavian Journal of Statistics. 35: 354-368. DOI: 10.1111/J.1467-9469.2007.00576.X |
0.317 |
|
2007 |
Anderson-Cook CM, Graves T, Hamada M, Hengartner N, Johnson VE, Reese CS, Wilson AG. Bayesian stockpile reliability methodology for complex systems Military Operations Research. 12: 25-37. DOI: 10.5711/Morj.12.2.25 |
0.306 |
|
2007 |
Johnson VE. Comment: Bayesian checking of the second levels of hierarchical models Statistical Science. 22: 353-358. DOI: 10.1214/07-Sts235D |
0.348 |
|
2007 |
Johnson VE. Bayesian model assessment using pivotal quantities Bayesian Analysis. 2: 719-734. DOI: 10.1214/07-Ba229 |
0.316 |
|
2006 |
Johnson TD, Johnson VE. A Bayesian hierarchical approach to multirater correlated ROC analysis. Statistics in Medicine. 25: 1858-71. PMID 16158405 DOI: 10.1002/Sim.2314 |
0.315 |
|
2005 |
Johnson VE. Bayes factors based on test statistics Journal of the Royal Statistical Society. Series B: Statistical Methodology. 67: 689-701. DOI: 10.1111/J.1467-9868.2005.00521.X |
0.332 |
|
2005 |
Johnson VE, Johnson TD. Bayesian Analysis of ROC Data Handbook of Statistics. 25: 821-833. DOI: 10.1016/S0169-7161(05)25028-9 |
0.308 |
|
2004 |
Johnson VE. A Bayesian χ 2 test for goodness-of-fit Annals of Statistics. 32: 2361-2384. DOI: 10.1214/009053604000000616 |
0.343 |
|
2002 |
Johnson VE, Deaner RO, Van Schaik CP. Bayesian analysis of rank data with application to primate intelligence experiments Journal of the American Statistical Association. 97: 8-17. DOI: 10.1198/016214502753479185 |
0.323 |
|
1997 |
Higdon DM, Bowsher JE, Johnson VE, Turkington TG, Gilland DR, Jaszczak RJ. Fully bayesian estimation of gibbs hyperparameters for emission computed tomography data Ieee Transactions On Medical Imaging. 16: 516-526. PMID 9368107 DOI: 10.1109/42.640741 |
0.341 |
|
1996 |
Bowsher JE, Johnson VE, Turkington TG, Jaszczak RJ, Floyd CR, Coleman RE. Bayesian reconstruction and use of anatomical a priori information for emission tomography. Ieee Transactions On Medical Imaging. 15: 673-86. PMID 18215949 DOI: 10.1109/42.538945 |
0.302 |
|
1996 |
Johnson VE. On Bayesian analysis of multirater ordinal data: An application to automated essay grading Journal of the American Statistical Association. 91: 42-51. DOI: 10.1080/01621459.1996.10476662 |
0.307 |
|
1994 |
Johnson VE. A model for segmentation and analysis of noisy images Journal of the American Statistical Association. 89: 230-241. DOI: 10.1080/01621459.1994.10476464 |
0.312 |
|
1991 |
Wong WH, Hu X, Chen CT, Johnson VE. Image Restoration Using Gibbs Priors: Boundary Modeling, Treatment of Blurring, and Selection of Hyperparameter Ieee Transactions On Pattern Analysis and Machine Intelligence. 13: 413-425. DOI: 10.1109/34.134041 |
0.315 |
|
1990 |
Chen CT, Hu X, Metz CE, Johnson VE, Wong WH. Bayesian image reconstruction in positron emission tomography Ieee Transactions On Nuclear Science. 37: 636-641. DOI: 10.1109/23.106690 |
0.306 |
|
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