Ben Sherwood

Assistant Professor
Primary office:
Capitol Federal Hall
Room 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 of the American Statistical Association, 113(523), 1243-1254.

Sherwood, B. & Wang, L. (2016). Partially linear additive quantile regression in ultra-high dimension. Annals of Statistics, 44(1), 288-317.

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. & Zhou, X. H. (2013). Weighted quantile regression for analyzing health care cost data with missing covariates. Statistics in Medicine, 32(28), 4967-4979.

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