| Inference with normal-gamma prior distributions in regression problems PJ Brown, JE Griffin | 596 | 2010 |
| Measurement, regression, and calibration PJ Brown Oxford University Press, 1994 | 558 | 1994 |
| Multivariate Bayesian variable selection and prediction PJ Brown, M Vannucci, T Fearn Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 1998 | 484 | 1998 |
| Multivariate calibration PJ Brown Journal of the Royal Statistical Society: Series B (Methodological) 44 (3 …, 1982 | 349 | 1982 |
| Multivariate spatial interpolation and exposure to air pollutants PJ Brown, ND Le, JV Zidek Canadian Journal of Statistics 22 (4), 489-509, 1994 | 268 | 1994 |
| Bayes model averaging with selection of regressors PJ Brown, M Vannucci, T Fearn Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2002 | 214 | 2002 |
| Bayesian wavelet regression on curves with application to a spectroscopic calibration problem PJ Brown, T Fearn, M Vannucci Journal of the American Statistical Association 96 (454), 398-408, 2001 | 214 | 2001 |
| Bayesian variable selection in multinomial probit models to identify molecular signatures of disease stage N Sha, M Vannucci, MG Tadesse, PJ Brown, I Dragoni, N Davies, ... Biometrics 60 (3), 812-819, 2004 | 177 | 2004 |
| Adaptive multivariate ridge regression PJ Brown, JV Zidek The Annals of Statistics 8 (1), 64-74, 1980 | 164 | 1980 |
| Wavelet-based nonparametric modeling of hierarchical functions in colon carcinogenesis JS Morris, M Vannucci, PJ Brown, RJ Carroll Journal of the American Statistical Association 98 (463), 573-583, 2003 | 157 | 2003 |
| Roles of platelets and factor XI in the initiation of blood coagulation by thrombin PN Walsh Thrombosis and haemostasis 86 (07), 75-82, 2001 | 154 | 2001 |
| Bayesian analysis of mass spectrometry proteomic data using wavelet-based functional mixed models JS Morris, PJ Brown, RC Herrick, KA Baggerly, KR Coombes Biometrics 64 (2), 479-489, 2008 | 143 | 2008 |
| Bayesian hyper‐lassos with non‐convex penalization JE Griffin, PJ Brown Australian & New Zealand Journal of Statistics 53 (4), 423-442, 2011 | 127 | 2011 |
| Aggregate data, ecological regression, and voting transitions PJ Brown, CD Payne Journal of the American Statistical Association 81 (394), 452-460, 1986 | 123 | 1986 |
| Alternative prior distributions for variable selection with very many more variables than observations JE Griffin, PJ Brown University of Warwick. Centre for Research in Statistical Methodology 2005 (10), 2005 | 115 | 2005 |
| Wavelength selection in multicomponent near‐infrared calibration PJ Brown Journal of chemometrics 6 (3), 151-161, 1992 | 112 | 1992 |
| The choice of variables in multivariate regression: a non-conjugate Bayesian decision theory approach PJ Brown, T Fearn, M Vannucci Biometrika 86 (3), 635-648, 1999 | 106 | 1999 |
| Confidence and conflict in multivariate calibration PJ Brown, R Sundberg Journal of the Royal Statistical Society: Series B (Methodological) 49 (1 …, 1987 | 100 | 1987 |
| Hierarchical shrinkage priors for regression models J Griffin, P Brown | 88 | 2017 |
| Robust, adaptive functional regression in functional mixed model framework H Zhu, PJ Brown, JS Morris Journal of the American Statistical Association 106 (495), 1167-1179, 2011 | 88 | 2011 |
Marina VannucciNoah Harding Professor of Statistics, Rice UniversityVerified email at rice.edu
