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Ben Sherwood
Ben Sherwood
Howard Mid-Career Associate Professor, University of Kansas
Dirección de correo verificada de ku.edu - Página principal
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Partially linear additive quantile regression in ultra-high dimension
B Sherwood, L Wang
The Annals of Statistics 44 (1), 288-317, 2016
1362016
Quantile-optimal treatment regimes
L Wang, Y Zhou, R Song, B Sherwood
Journal of the American Statistical Association 113 (523), 1243-1254, 2018
782018
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
712013
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
632016
rqPen: Penalized Quantile Regression
B Sherwood, A Maidman
R package version 2, 2017
60*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
492018
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
382017
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
362017
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
312016
Variable selection for additive partial linear quantile regression with missing covariates
B Sherwood
Journal of Multivariate Analysis 152, 206-223, 2016
212016
A Cluster Elastic Net for Multivariate Regression
BS Price, B Sherwood
Journal of Machine Learning Research 18 (232), 1-39, 2018
182018
Estimating Multiple Precision Matrices with Cluster Fusion Regularization
BS Price, AJ Molstad, B Sherwood
Journal of Computational and Graphical Statistics, 1-30, 2021
82021
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
42016
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
32023
Quantile regression feature selection and estimation with grouped variables using Huber approximation
B Sherwood, S Li
Statistics and Computing 32 (5), 75, 2022
32022
Detecting clusters in multivariate response regression
BS Price, C Allenbrand, B Sherwood
Wiley Interdisciplinary Reviews: Computational Statistics 14 (3), e1551, 2022
32022
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
32014
Additive nonlinear quantile regression in ultra-high dimension
B Sherwood, A Maidman
Journal of Machine Learning Research 23 (63), 1-47, 2022
22022
Asymptotic properties of concave L1-norm group penalties
B Sherwood, AJ Molstad, S Singha
Statistics & Probability Letters 157, 108631, 2020
22020
mcen: Multivariate Cluster Elastic Net, 2018
B Sherwood, B Price
URL https://CRAN. R-project. org/package= mcen. R package version 1, 0
2
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