Ben Sherwood

Assistant Professor
Primary office:
Capitol Federal Hall, 3136
University of Kansas


Academic Area

Decision Sciences and Business Analytics


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

Research Interests

  • Quantile regression
  • Genomics
  • 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 Articles]. 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 Articles]. Journal of Multivariate Analysis, 152, 206–223.
Sherwood, B., & Wang, L. (2016). Partially linear additive quantile regression in ultra-high dimension [Journal Articles]. 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 [Journal Articles]. Statistics in Medicine, 32(28), 4967–4979.

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