Ted Westling
Assistant Professor

Location
LGRT 1338
Education
PhD, Statistics, University of Washington
BS, Mathematics, Stanford University
RESEARCH INTERESTS
Nonparametric statistics, causal inference, shape-constrained inference, survival analysis.
Selected Publications
- Takatsu, K. and Westling, T. (2024). Debiased inference for a covariate-adjusted regression function. Journal of the Royal Statistical Society: Series B (Statistical Methodology), qkae041. DOI:10.1093/jrsssb/qkae041.
- Westling, T., Luedtke, A., Gilbert, P., and Carone, M. (2024). Inference for treatment-specific survival curves using machine learning. Journal of the American Statistical Association, 119(546):1541-1553. DOI:10.1080/01621459.2023.2205060
- Westling, T. (2022). Nonparametric tests of the causal null with non-discrete exposures. Journal of the American Statistical Association, 117(539):1551-1562. DOI:10.1080/01621459.2020.1865168
- Westling, T., Gilbert, P., and Carone, M. (2020). Causal isotonic regression. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 82(3):719-747. DOI:10.1111/rssb.12372
- Westling, T. and Carone, M. (2020). A unified study of nonparametric inference for monotone functions. Annals of Statistics, 48(2):1001-1024. DOI:10.1214/19-AOS1835