| Bayesian adaptive sampling for variable selection and model averaging MA Clyde, J Ghosh, ML Littman Journal of Computational and Graphical Statistics 20 (1), 80-101, 2011 | 291 | 2011 |
| Default prior distributions and efficient posterior computation in Bayesian factor analysis J Ghosh, DB Dunson Journal of Computational and Graphical Statistics 18 (2), 306-320, 2009 | 202 | 2009 |
| On the use of Cauchy prior distributions for Bayesian logistic regression J Ghosh, Y Li, R Mitra Bayesian Analysis, 2018 | 181 | 2018 |
| Bayesian variable selection under collinearity J Ghosh, AE Ghattas The American Statistician 69 (3), 165-173, 2015 | 65 | 2015 |
| Obesity and diabetes genetic variants associated with gestational weight gain AM Stuebe, H Lyon, AH Herring, J Ghosh, A Wise, KE North, ... American journal of obstetrics and gynecology 203 (3), 283. e1-283. e17, 2010 | 57 | 2010 |
| Rao–Blackwellization for Bayesian variable selection and model averaging in linear and binary regression: A novel data augmentation approach J Ghosh, MA Clyde Journal of the American Statistical Association 106 (495), 1041-1052, 2011 | 52 | 2011 |
| Projected changes in discharge in an agricultural watershed in Iowa G Villarini, E Scoccimarro, KD White, JR Arnold, KE Schilling, J Ghosh JAWRA Journal of the American Water Resources Association 51 (5), 1361-1371, 2015 | 24 | 2015 |
| Multi-model ensemble forecasting of North Atlantic tropical cyclone activity G Villarini, B Luitel, GA Vecchi, J Ghosh Climate dynamics 53, 7461-7477, 2019 | 22 | 2019 |
| Bayesian model selection in factor analytic models J Ghosh, DB Dunson Random effect and latent variable model selection, 151-163, 2008 | 20 | 2008 |
| Bayesian variable selection for latent class models J Ghosh, AH Herring, AM Siega-Riz Biometrics 67 (3), 917-925, 2011 | 18 | 2011 |
| Bayesian model selection using the median probability model J Ghosh Wiley Interdisciplinary Reviews: Computational Statistics 7 (3), 185-193, 2015 | 15 | 2015 |
| Secure computation with horizontally partitioned data using adaptive regression splines J Ghosh, JP Reiter, AF Karr Computational statistics & data analysis 51 (12), 5813-5820, 2007 | 15 | 2007 |
| Finite population estimators in stochastic search variable selection MA Clyde, J Ghosh Biometrika 99 (4), 981-988, 2012 | 12* | 2012 |
| Secure Bayesian model averaging for horizontally partitioned data J Ghosh, JP Reiter Statistics and Computing 23 (3), 311-322, 2013 | 11 | 2013 |
| BAS: Bayesian model averaging using Bayesian adaptive sampling M Clyde, M Littman, J Ghosh R package version 1, 2012 | 6 | 2012 |
| A Comparison of Bayesian Multivariate Versus Univariate Normal Regression Models for Prediction X Li, J Ghosh, G Villarini The American Statistician, 2023 | 5 | 2023 |
| Sandwich algorithms for Bayesian variable selection J Ghosh, A Tan Computational statistics & data analysis 81, 76-88, 2015 | 5 | 2015 |
| Cauchy and other shrinkage priors for logistic regression in the presence of separation J Ghosh Wiley Interdisciplinary Reviews: Computational Statistics 11 (6), e1478, 2019 | 3 | 2019 |
| Package ‘BAS’ M Clyde, MM Clyde Bernoulli 8 (1), 2015 | 2 | 2015 |
| Efficient bayesian computation and model search in linear hierarchical models J Ghosh Duke University, 2008 | 2 | 2008 |
Merlise ClydeProfessor of Statistical Science, Duke UniversityVerified email at duke.edu
