| Deciduous forest responses to temperature, precipitation, and drought imply complex climate change impacts Y Xie, X Wang, JA Silander Jr Proceedings of the National Academy of Sciences 112 (44), 13585-13590, 2015 | 164 | 2015 |
| A Bayesian approach to subgroup identification JO Berger, X Wang, L Shen Journal of biopharmaceutical statistics 24 (1), 110-129, 2014 | 104 | 2014 |
| Estimating equations inference with missing data Y Zhou, ATK Wan, X Wang Journal of the American Statistical Association 103 (483), 1187-1199, 2008 | 88 | 2008 |
| Predicting autumn phenology: how deciduous tree species respond to weather stressors Y Xie, X Wang, AM Wilson, JA Silander Jr Agricultural and Forest Meteorology 250, 127-137, 2018 | 80 | 2018 |
| Estimating shape constrained functions using Gaussian processes X Wang, JO Berger SIAM/ASA Journal on Uncertainty Quantification 4 (1), 1-25, 2016 | 77 | 2016 |
| Robust Gaussian stochastic process emulation M Gu, X Wang, JO Berger The Annals of Statistics 46 (6A), 3038-3066, 2018 | 75 | 2018 |
| Bayesian analysis of dynamic item response models in educational testing X Wang, JO Berger, DS Burdick | 59 | 2013 |
| Wavelet analysis of change-points in a non-parametric regression with heteroscedastic variance Y Zhou, ATK Wan, S Xie, X Wang Journal of Econometrics 159 (1), 183-201, 2010 | 25 | 2010 |
| Bayesian modeling using latent structures X Wang Duke University, 2012 | 13 | 2012 |
| First trimester Doppler velocimetry of the uterine artery ipsilateral to the placenta improves ability to predict early-onset preeclampsia WL Song, YH Zhao, SJ Shi, XY Liu, GY Zheng, C Morosky, Y Jiao, ... Medicine 98 (16), 2019 | 12 | 2019 |
| Bayesian design of non-inferiority clinical trials via the Bayes factor W Li, MH Chen, X Wang, DK Dey Statistics in biosciences 10, 439-459, 2018 | 8 | 2018 |
| Look before you leap: systematic evaluation of tree-based statistical methods in subgroup identification Y Liu, X Ma, D Zhang, L Geng, X Wang, W Zheng, MH Chen Journal of biopharmaceutical statistics 29 (6), 1082-1102, 2019 | 6 | 2019 |
| A comparison of Monte Carlo methods for computing marginal likelihoods of item response theory models Y Liu, G Hu, L Cao, X Wang, MH Chen Journal of the Korean Statistical Society 48 (4), 503-512, 2019 | 4 | 2019 |
| Bayesian inference for stochastic volatility models using the generalized skew- distribution with applications to the Shenzhen Stock Exchange returns CA Abanto-Valle, C Wang, X Wang, FX Wang, MH Chen Statistics and its Interface 7 (4), 487-502, 2014 | 4 | 2014 |
| A Novel approach to construct a composite indicator by maximizing its sum of squared correlations with Sub-indicators W Wu, X Wang Journal of Systems Science and Complexity 28 (4), 925-937, 2015 | 3 | 2015 |
| Several topological indices of random caterpillars P Zhang, X Wang Methodology and Computing in Applied Probability, 1-17, 2022 | 2 | 2022 |
| Strong convergence rates of several estimators in semiparametric varying-coefficient partially linear models Y Zhou, J You, X Wang Acta Mathematica Scientia 29 (5), 1113-1127, 2009 | 2 | 2009 |
| The factor analysis of comprehensive evaluation on the development level of high-tech industry in different provinces in China XJ Wang Mathematics in Practice and Theory 37 (8), 17-28, 2007 | 2 | 2007 |
| learning semiparametric regression with missing covariates using Gaussian process models A Bishoyi, X Wang, DK Dey | 1 | 2020 |
| Parallel Markov chain Monte Carlo for Bayesian dynamic item response models in educational testing Z Wei, X Wang, EM Conlon Stat 6 (1), 420-433, 2017 | 1 | 2017 |
James BergerProfessor of Statistics, Duke UniversityVerified email at stat.duke.edu
