Ben Sherwood

Ben Sherwood
  • Associate Professor
  • Jack and Shirley Howard Mid-Career Professor
  • Analytics, Information, Operations academic area

Contact Info

785-864-6960
Capitol Federal Hall, Room 3136
Lawrence

Personal Links

Education —

Ph.D., University of Minnesota, 2014
B.A., Macalester College, 2003

Research —

Research interests:

  • Quantile regression
  • semiparametric regression
  • high-dimensional data
  • multivariate regression
  • model selection
  • missing data

Selected Publications —

Wang, L., Zhou, Y., Song, R., Sherwood, B. (2018). Quantile-Optimal Treatment Regimes. Journal of the American Statistical Association - Issue 523 | Volume 113. https://doi.org/10.1080/01621459.2017.1330204.
Hong, X., Sherwood, B., Ladd-Acosta, C., Peng, S., Ji, H., Hao, K., Burd, I., Bartell, T., Wang, G., Tsai, H., Liu, X., Ji, Y., Wahl, A., Caruso, D., Lee-Parritz, A., Zuckerman, B., Wang, X. (2018). Genome-wide DNA Methylation Associations with Spontaneous Preterm Birth in US Blacks: Findings in Maternal and Cord Blood Samples. Epigenetics - Issue 2 | Volume 13. https://doi.org/10.1080/15592294.2017.1287654.
Price, B., Sherwood, B. (2018). A Cluster Elastic Net for Multivariate Regression. Journal of Machine Learning Research - Issue 232 | Volume 18.
Sherwood, B. (2016). Variable selection for additive partial linear quantile regression with missing covariates. Journal of Multivariate Analysis - Volume 152. https://doi.org/10.1016/J.JMVA.2016.08.009.
Sherwood, B., Wang, L. (2016). Partially linear additive quantile regression in ultra-high dimension. The Annals of Statistics - Issue 1 | Volume 44. https://doi.org/10.1214/15-AOS1367.
Sherwood, B., Zhou, A., Zhou, A., Weintraub, S., Wang, L., Zhou, A. (2016). Using quantile regression to create baseline norms for neuropsychological tests. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring - Issue 1 | Volume 2. https://doi.org/10.1016/J.DADM.2015.11.005.