| Partially linear additive quantile regression in ultra-high dimension B Sherwood, L Wang The Annals of Statistics 44 (1), 288-317, 2016 | 156 | 2016 |
| Quantile-optimal treatment regimes L Wang, Y Zhou, R Song, B Sherwood Journal of the American Statistical Association 113 (523), 1243-1254, 2018 | 91 | 2018 |
| Weighted quantile regression for analyzing health care cost data with missing covariates B Sherwood, L Wang, XH Zhou Statistics in medicine 32 (28), 4967-4979, 2013 | 75 | 2013 |
| Epigenome-wide association study links site-specific DNA methylation changes with cow's milk allergy X Hong, C Ladd-Acosta, K Hao, B Sherwood, H Ji, CA Keet, R Kumar, ... Journal of Allergy and Clinical Immunology 138 (3), 908-911. e9, 2016 | 68 | 2016 |
| rqPen: Penalized Quantile Regression B Sherwood, A Maidman R package version 2, 2017 | 66* | 2017 |
| Genome-wide DNA Methylation associations with spontaneous preterm birth in US Blacks: findings in maternal and cord blood samples X Hong, B Sherwood, C Ladd-Acosta, S Peng, H Ji, K Hao, I Burd, ... Epigenetics 13 (2), 163-172, 2018 | 53 | 2018 |
| Genome-wide approach identifies a novel gene-maternal pre-pregnancy BMI interaction on preterm birth X Hong, K Hao, H Ji, S Peng, B Sherwood, A Di Narzo, HJ Tsai, X Liu, ... Nature communications 8 (1), 15608, 2017 | 44 | 2017 |
| Genome-wide prediction of DNase I hypersensitivity using gene expression W Zhou, B Sherwood, Z Ji, Y Xue, F Du, J Bai, M Ying, H Ji Nature Communications 8 (1), 1038, 2017 | 39 | 2017 |
| Using quantile regression to create baseline norms for neuropsychological tests B Sherwood, AXH Zhou, S Weintraub, L Wang Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 2 (1), 12-18, 2016 | 34 | 2016 |
| Variable selection for additive partial linear quantile regression with missing covariates B Sherwood Journal of Multivariate Analysis 152, 206-223, 2016 | 26 | 2016 |
| A Cluster Elastic Net for Multivariate Regression BS Price, B Sherwood Journal of Machine Learning Research 18 (232), 1-39, 2018 | 25 | 2018 |
| Estimating Multiple Precision Matrices with Cluster Fusion Regularization BS Price, AJ Molstad, B Sherwood Journal of Computational and Graphical Statistics, 1-30, 2021 | 9 | 2021 |
| Quantile regression feature selection and estimation with grouped variables using Huber approximation B Sherwood, S Li Statistics and Computing 32 (5), 75, 2022 | 6 | 2022 |
| Additive nonlinear quantile regression in ultra-high dimension B Sherwood, A Maidman Journal of Machine Learning Research 23 (63), 1-47, 2022 | 5 | 2022 |
| Computational Prediction of the Global Functional Genomic Landscape: Applications, Methods, and Challenges W Zhou, B Sherwood, H Ji Human Heredity 81 (2), 88-105, 2016 | 5 | 2016 |
| Quantile partially linear additive model for data with dropouts and an application to modeling cognitive decline A Maidman, L Wang, XH Zhou, B Sherwood Statistics in Medicine 42 (16), 2729-2745, 2023 | 4 | 2023 |
| Model selection uncertainty and stability in beta regression models: A study of bootstrap-based model averaging with an empirical application to clickstream data C Allenbrand, B Sherwood The Annals of Applied Statistics 17 (1), 680-710, 2023 | 4 | 2023 |
| Detecting clusters in multivariate response regression BS Price, C Allenbrand, B Sherwood Wiley Interdisciplinary Reviews: Computational Statistics 14 (3), e1551, 2022 | 4 | 2022 |
| Discussion on "Estimation and Accuracy after Model Selection" by Brad Efron L Wang, B Sherwood, R Li Journal of the American Statistical Association 109, 1007-1010, 2014 | 3 | 2014 |
| A naïve Bayes regularized logistic regression estimator for low-dimensional classification Y Tan, B Sherwood, PP Shenoy International Journal of Approximate Reasoning 172, 109239, 2024 | 2 | 2024 |
Lan WangCentennial Endowed Professor, University of MiamiVerified email at mbs.miami.edu
