Decision Sciences and Business Analytics
- Ph.D., University of Minnesota (2014)
- B.A., Macalester College (2003)
- Quantile regression
- Semiparametric regression
- High-dimensional data
- Multivariate regression
- Model selection
- Missing data
Wang, L. Zhou, Y. Song, R. & Sherwood, B. (2018). Quantile-optimal treatment regimes. Journal of the American Statistical Association, 113(523), 1243-1254.
Sherwood, B. (2016). Variable selection for additive partial linear quantile regression with missing covariates. Journal of Multivariate Analysis, 152, 206-223.
Sherwood, B. & Wang, L. (2016). Partially linear additive quantile regression in ultra-high dimension. Annals of Statistics, 44(1), 288-317.
Sherwood, B. Wang, L. & Zhou, X. H. (2013). Weighted quantile regression for analyzing health care cost data with missing covariates. Statistics in Medicine, 32(28), 4967-4979.