Pei Geng
Assistant Professor
Mathematics
Office
Stevenson Hall - STV 309 B
Office Phone
Email
- About
- Education
- Awards & Honors
- Research
Research Interests & Areas
Measurement error models, nonparametric statistics, biostatistics.
Ph D Statistics
Michigan State University
East Lansing, MI
MS Statistics
East China Normal University
Shanghai, China
BS Mathematics
Capital Normal University
Beijing, China
Outstanding Departmental Teaching Award
Illinois State University
2019
NatSci Excellence-in-Teaching Citation
Michigan State University
2016
Book, Chapter
Koul, H., & Geng, P. Weighted Empirical Minimum Distance Estimators in Berkson Measurement Error Regression Models. Analytical Methods in Statistics. Springer International Publishing (2020): 31-71.
Conference Proceeding
Koul, H.L. and Geng, P. (2019). Weighted empirical minimum distance estimators in Berkson measurement error regression models, Springer Proceedings in Mathematics & Statistics - Analytical Methods in Statistics, 31-71.
Journal Article
Geng, P. and Koul, H.L. (2019). Minimum distance model checking in Berkson measurement error models using validation data, TEST, 28(3), 879-899.
Geng, P., Tong, X. and Lu, Q. (2019). An integrative U method for joint analysis of multi-level omic data, BMC-Genetics 20, 40. doi:10.1186/s12863-019-0742-z.
Geng, P. and Koul, H.L. (2017). Model checking in Tobit regression with measurement errors using validation data, Journal of Statistical Planning and Inference, 190, 15-31.
Presentations
Deline, M.B., Dalrymple, K., Worwood, J., Geng, P., Reed, E. Sticking my head in the sand: Motives for environmental information avoidance. (Forthcoming). International Communication Association. Online.