BART: Bayesian additive regression trees HA Chipman, EI George, RE McCulloch | 2474 | 2010 |
Bayesian CART model search HA Chipman, EI George, RE McCulloch Journal of the American Statistical Association 93 (443), 935-948, 1998 | 1115 | 1998 |
Adaptive Bayesian wavelet shrinkage HA Chipman, ED Kolaczyk, RE McCulloch Journal of the American Statistical Association 92 (440), 1413-1421, 1997 | 866 | 1997 |
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 | 630 | 2001 |
Bayes and big data: the consensus Monte Carlo algorithm SL Scott, AW Blocker, FV Bonassi, HA Chipman, EI George, ... International Journal of Management Science and Engineering Management 11 (2 …, 2016 | 540* | 2016 |
Bayesian variable selection with related predictors H Chipman Canadian Journal of Statistics 24 (1), 17-36, 1996 | 496 | 1996 |
A Bayesian variable-selection approach for analyzing designed experiments with complex aliasing H Chipman, M Hamada, CFJ Wu Technometrics 39 (4), 372-381, 1997 | 326 | 1997 |
Bayesian treed models HA Chipman, EI George, RE McCulloch Machine Learning 48, 299-320, 2002 | 274 | 2002 |
Comment on "Nonparametric Profile Monitoring by Mixed Effects Modeling" by Qiu, Zou and Wang HA Chipman, RJ MacKay, SH Steiner Technometrics 52 (3), 280-283, 2010 | 263* | 2010 |
Hybrid hierarchical clustering with applications to microarray data H Chipman, R Tibshirani Biostatistics 7 (2), 286-301, 2006 | 201 | 2006 |
Bayesian ensemble learning H Chipman, E George, R McCulloch Advances in neural information processing systems 19, 2006 | 158 | 2006 |
Some risks in the construction and analysis of supersaturated designs B Abraham, H Chipman, K Vijayan Technometrics 41 (2), 135-141, 1999 | 151 | 1999 |
GPfit: An R package for fitting a Gaussian process model to deterministic simulator outputs B MacDonald, P Ranjan, H Chipman Journal of Statistical Software 64, 1-23, 2015 | 141* | 2015 |
Heteroscedastic BART via multiplicative regression trees MT Pratola, HA Chipman, EI George, RE McCulloch Journal of Computational and Graphical Statistics 29 (2), 405-417, 2020 | 99 | 2020 |
Parallel Bayesian additive regression trees MT Pratola, HA Chipman, JR Gattiker, DM Higdon, R McCulloch, WN Rust Journal of Computational and Graphical Statistics 23 (3), 830-852, 2014 | 94 | 2014 |
Monotone emulation of computer experiments S Golchi, DR Bingham, H Chipman, DA Campbell SIAM/ASA Journal on Uncertainty Quantification 3 (1), 370-392, 2015 | 86 | 2015 |
Making sense of a forest of trees HA Chipman, EI George, RE McCulloh Computing Science and Statistics, 84-92, 1998 | 83* | 1998 |
Interpretable dimension reduction HA Chipman, H Gu Journal of applied statistics 32 (9), 969-987, 2005 | 80 | 2005 |
Darwinian evolution in parallel universes: A parallel genetic algorithm for variable selection M Zhu, HA Chipman Technometrics 48 (4), 491-502, 2006 | 77 | 2006 |
Clustering microarray data H Chipman, TJ Hastie, R Tibshirani Statistical analysis of gene expression microarray data 1, 159-200, 2003 | 76 | 2003 |