Yuhang Xu

EDUCATION

Ph.D. in Statistics, Department of Statistics, Iowa State University 2012 – 2016

Ph.D. student in Statistics, Department of Statistics, University of Georgia 2010 – 2012

M.S. in Statistics, Department of Statistics, East China Normal University 2007 – 2010

B.S. in Mathematics and Applied Mathematics, Department of Mathematics, East China University of Science and Technology 2003 – 2007

ACADEMIC POSITIONS

Associate Professor in Statistics, Department of Applied Statistics & Operations Research College of Business, Bowling Green State University, 2023 – Present

Assistant Professor in Statistics, Department of Applied Statistics & Operations Research College of Business, Bowling Green State University, 2019 – 2023

Assistant Professor in Statistics, Department of Statistics, University of Nebraska-Lincoln, 2016 – 2019

• Functional data analysis

• Measurement error models

• Survival analysis

• Variable selection

• Non-parametric and Semi-parametric statistical methods

• Collaborative research in business, agricultural and biological sciences, chemistry, etc.

McGrath, R., Xu, Y., & Taylor, A. (2023). Screening main and interaction effects in supersaturated models. Communications in Statistics - Simulation and Computation.

Li, Y., Qiu, Y., & Xu, Y. (2021). From multivariate to functional data analysis: fundamentals, recent developments, and emerging areas. Journal of Multivariate Analysis.

Xu, Y., Li, Y., & Qiu, Y. (2021). Growth dynamics and heritability for plant high-throughput phenotyping studies using hierarchical functional data analysis. Biometrical Journal.

Miao, C., Xu, Y., Liu, S., Schnable, P. S., & Schnable, J. C. (2020). Increased Power and Accuracy of Causal Locus Identification in Time Series Genome-wide Association in Sorghum. Plant Physiology, 183(4), 1898–1909.

Adams, J., Qiu, Y., Xu, Y., & Schnable, J. C. (2020). Plant segmentation by supervised machine learning methods. The Plant Phenome Journal (New Journal in Plant Phenomics), 3(1), e20001. https://acsess.onlinelibrary.wiley.com/doi/full/10.1002/ppj2.20001

Vu, T., Siemek, P., Bhinderwala, F., Xu, Y., & Powers, R. (2019). Evaluation of multivariate classification models for analyzing NMR metabolomics data. Journal of Proteome Research  18(9), 3282–3294. https://pubs.acs.org/doi/10.1021/acs.jproteome.9b00227

Liang, Z., Pandey, P., Stoerger, V., Xu, Y., Qiu, Y., Ge, Y., & Schnable, J. C. (2018). Conventional and hyperspectral time-series imaging of maize lines widely used in field trials. Gigascience, 7(2), gix117.

Xu, Y., Qiu, Y., & Schnable, J. C. (2018). Functional modeling of plant growth dynamics. The Plant Phenome Journal, 1(1), 1–10.

Xu, Y., Li, Y., & Nettleton, D. (2018). Nested hierarchical functional data modeling and inference for the analysis of functional plant phenotypes. Journal of the American Statistical Association, 113(522), 593–606.

Song, F. S., Montabon, F., & Xu, Y. (2018). The impact of national culture on corporate adoption of environmental management practices and their effectiveness. International Journal of Production Economics, 205, 313–328.

Xu, Y., Kim, J. K., & Li, Y. (2017). Semiparametric estimation for measurement error models with validation data. Canadian Journal of Statistics, 45(2), 185–201.

Chapter

Xu, Y. (2021). Functional Data Analysis. In Springer Handbook of Engineering Statistics, 2nd ed.