| Variable selection via Gibbs sampling EI George, RE McCulloch Journal of the American Statistical Association 88 (423), 881-889, 1993 | 3834 | 1993 |
| BART: Bayesian additive regression trees HA Chipman, EI George, RE McCulloch | 2679 | 2010 |
| Approaches for Bayesian variable selection EI George, RE McCulloch Statistica sinica, 339-373, 1997 | 1822 | 1997 |
| Bayesian CART model search HA Chipman, EI George, RE McCulloch Journal of the American Statistical Association 93 (443), 935-948, 1998 | 1131 | 1998 |
| The value of purchase history data in target marketing PE Rossi, RE McCulloch, GM Allenby Marketing Science 15 (4), 321-340, 1996 | 1059 | 1996 |
| Modeling covariance matrices in terms of standard deviations and correlations, with application to shrinkage J Barnard, R McCulloch, XL Meng Statistica Sinica, 1281-1311, 2000 | 971 | 2000 |
| Adaptive Bayesian wavelet shrinkage HA Chipman, ED Kolaczyk, RE McCulloch Journal of the American Statistical Association 92 (440), 1413-1421, 1997 | 861 | 1997 |
| An exact likelihood analysis of the multinomial probit model R McCulloch, PE Rossi Journal of Econometrics 64 (1-2), 207-240, 1994 | 830 | 1994 |
| The practical implementation of Bayesian model selection H Chipman, EI George, RE McCulloch, M Clyde, DP Foster, RA Stine Lecture Notes-Monograph Series, 65-134, 2001 | 641 | 2001 |
| Bayes and big data: The consensus Monte Carlo algorithm SL Scott, AW Blocker, FV Bonassi, HA Chipman, EI George, ... Big Data and Information Theory, 8-18, 2022 | 556 | 2022 |
| A Bayesian analysis of the multinomial probit model with fully identified parameters RE McCulloch, NG Polson, PE Rossi Journal of econometrics 99 (1), 173-193, 2000 | 404 | 2000 |
| Bayesian treed models HA Chipman, EI George, RE McCulloch Machine Learning 48, 299-320, 2002 | 281 | 2002 |
| Local model influence RE McCulloch Journal of the American Statistical Association 84 (406), 473-478, 1989 | 264 | 1989 |
| Bayesian inference and prediction for mean and variance shifts in autoregressive time series RE McCulloch, RS Tsay Journal of the american Statistical association 88 (423), 968-978, 1993 | 258 | 1993 |
| Bayesian analysis of autoregressive time series via the Gibbs sampler RE McCulloch, RS Tsay Journal of Time Series Analysis 15 (2), 235-250, 1994 | 238 | 1994 |
| Hierarchical bayes models GM Allenby, PE Rossi The handbook of marketing research: Uses, misuses, and future advances, 418-440, 2006 | 232 | 2006 |
| Statistical analysis of economic time series via Markov switching models RE McCulloch, RS Tsay Journal of time series analysis 15 (5), 523-539, 1994 | 232 | 1994 |
| Nonparametric survival analysis using Bayesian additive regression trees (BART) RA Sparapani, BR Logan, RE McCulloch, PW Laud Statistics in medicine 35 (16), 2741-2753, 2016 | 194 | 2016 |
| Bayesian ensemble learning H Chipman, E George, R McCulloch Advances in neural information processing systems 19, 2006 | 165 | 2006 |
| Nonparametric machine learning and efficient computation with Bayesian additive regression trees: The BART R package R Sparapani, C Spanbauer, R McCulloch Journal of Statistical Software 97, 1-66, 2021 | 156 | 2021 |
Edward I GeorgeUniversal Furniture Professor Emeritus of Statistics, Wharton School, University of PennsylvaniaZweryfikowany adres z wharton.upenn.edu
