Contact Information
605 E. Springfield Ave. #152CAB
Champaign, IL 61820
Research Interests
Applied and computational statistics
Biostatistics and bioinformatics
Robust and semiparametric statistical methods
Functional data
Quantitative image analysis
Education
PhD, Statistics, University of North Carolina at Chapel Hill, 1985
MS, Statistics, University of North Carolina at Chapel Hill, 1983
BA, Mathematics, Carleton College, 1980
Additional Campus Affiliations
Professor, Beckman Institute for Advanced Science and Technology
External Links
Recent Publications
Li, B., & Simpson, D. (2023). Reflections on the IDEA Forum—Statistics, Climate Change, and Sustainability. CHANCE, 36(1), 25-30. https://doi.org/10.1080/09332480.2023.2179273
McFarlin, B. L., Liu, Y., Villegas-Downs, M., Mohammadi, M., Simpson, D. G., Han, A., & O'Brien, W. D. (2023). Predicting Spontaneous Pre-term Birth Risk Is Improved When Quantitative Ultrasound Data Are Included With Historical Clinical Data. Ultrasound in Medicine and Biology, 49(5), 1145-1152. https://doi.org/10.1016/j.ultrasmedbio.2022.12.018
Park, Y., Han, K., & Simpson, D. G. (2023). Testing linear operator constraints in functional response regression with incomplete response functions. Electronic Journal of Statistics, 17(2), 3143-3180. https://doi.org/10.1214/23-ejs2177
Park, Y., Chen, X., & Simpson, D. G. (2022). ROBUST INFERENCE FOR PARTIALLY OBSERVED FUNCTIONAL RESPONSE DATA. Statistica Sinica, 32(4), 2265-2293. https://doi.org/10.5705/ss.202020.0358
Menictas, M., Nolan, T. H., Simpson, D. G., & Wand, M. P. (2021). Streamlined variational inference for higher level group-specific curve models. Statistical Modelling, 21(6), 479-519. https://doi.org/10.1177/1471082X20930894