| Learning from crowds. VC Raykar, S Yu, LH Zhao, GH Valadez, C Florin, L Bogoni, L Moy Journal of machine learning research 11 (4), 2010 | 1642 | 2010 |
| Statistical analysis of a telephone call center: A queueing-science perspective L Brown, N Gans, A Mandelbaum, A Sakov, H Shen, S Zeltyn, L Zhao Journal of the American statistical association 100 (469), 36-50, 2005 | 1172 | 2005 |
| Valid post-selection inference R Berk, L Brown, A Buja, K Zhang, L Zhao The Annals of Statistics, 802-837, 2013 | 715 | 2013 |
| Supervised learning from multiple experts: whom to trust when everyone lies a bit VC Raykar, S Yu, LH Zhao, A Jerebko, C Florin, GH Valadez, L Bogoni, ... Proceedings of the 26th Annual international conference on machine learning …, 2009 | 439 | 2009 |
| Statistical inference after model selection R Berk, L Brown, L Zhao Journal of Quantitative Criminology 26, 217-236, 2010 | 119 | 2010 |
| Bayesian aspects of some nonparametric problems LH Zhao Annals of statistics, 532-552, 2000 | 117 | 2000 |
| Models as approximations I A Buja, L Brown, R Berk, E George, E Pitkin, M Traskin, K Zhang, L Zhao Statistical Science 34 (4), 523-544, 2019 | 112 | 2019 |
| Fast computation of kernel estimators VC Raykar, R Duraiswami, LH Zhao Journal of Computational and Graphical Statistics 19 (1), 205-220, 2010 | 106 | 2010 |
| CCM-3/STRIPAK promotes seamless tube extension through endocytic recycling B Lant, B Yu, M Goudreault, D Holmyard, JDR Knight, P Xu, L Zhao, ... Nature communications 6 (1), 1-13, 2015 | 96 | 2015 |
| An autoregressive approach to house price modeling CH Nagaraja, LD Brown, LH Zhao | 93 | 2011 |
| A test for the Poisson distribution LD Brown, LH Zhao Sankhyā: The Indian Journal of Statistics, Series A, 611-625, 2002 | 92 | 2002 |
| Can a tiger change its stripes? Reform of Chinese state-owned enterprises in the penumbra of the state A Harrison, M Meyer, P Wang, L Zhao, M Zhao National Bureau of Economic Research, 2019 | 87 | 2019 |
| The root–unroot algorithm for density estimation as implemented via wavelet block thresholding L Brown, T Cai, R Zhang, L Zhao, H Zhou Probability theory and related fields 146, 401-433, 2010 | 84 | 2010 |
| Superefficiency in nonparametric function estimation LD Brown, MG Low, LH Zhao The Annals of Statistics 25 (6), 2607-2625, 1997 | 68 | 1997 |
| Free-knot polynomial splines with confidence intervals W Mao, LH Zhao Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2003 | 60 | 2003 |
| Semi-supervised linear regression D Azriel, LD Brown, M Sklar, R Berk, A Buja, L Zhao Journal of the American Statistical Association 117 (540), 2238-2251, 2022 | 58 | 2022 |
| Models as approximations II A Buja, L Brown, AK Kuchibhotla, R Berk, E George, L Zhao Statistical Science 34 (4), 545-565, 2019 | 56 | 2019 |
| Covariance adjustments for the analysis of randomized field experiments R Berk, E Pitkin, L Brown, A Buja, E George, L Zhao Evaluation review 37 (3-4), 170-196, 2013 | 48 | 2013 |
| Misspecified mean function regression: Making good use of regression models that are wrong R Berk, L Brown, A Buja, E George, E Pitkin, K Zhang, L Zhao Sociological Methods & Research 43 (3), 422-451, 2014 | 38 | 2014 |
| Models as approximations, part I: A conspiracy of nonlinearity and random regressors in linear regression A Buja, R Berk, L Brown, E George, E Pitkin, M Traskin, K Zhan, L Zhao arXiv preprint arXiv:1404.1578, 2014 | 36* | 2014 |
