Contact Information
M/C 374
Champaign, IL 61820
Biography
Yuguo Chen is Professor at Department of Statistics , University of Illinois at Urbana-Champaign. He is Director of Illinois Statistics Office. He is also affiliated with Department of Computer Science, Information Trust Institute, Computational Science and Engineering, and Illinois Informatics Institute. Prior to joining UIUC, he was an Assistant Professor at the Institute of Statistics and Decision Sciences, Duke University, from 2001 to 2005.
Research Interests
Monte Carlo theory and methodology, and their applications to scientific problems
Statistical inference on network data
State space models and dynamic systems
Bioinformatics and population genetics
Education
PhD, Statistics, Stanford University, 2001
B.S., Mathematics, University of Science and Technology of China, 1997
Awards and Honors
Data Science Founder Professorial Scholar, 2019
Fellow of American Statistical Association, 2018
Charles Edison Lecturer, University of Notre Dame, 2018
Lists of Teachers Ranked as Excellent, 2010, 2013, 2015, 2017, 2018
Invited Lecture at the “Best of Computational and Graphical Statistics” session of Interface, 2015
ICSA Student Paper Award, 2001
Associate Editor, Journal of American Statistical Association, 2014-present.
Associate Editor, Journal of Computational and Graphical Statistics, 2007-present.
Editorial Board, Journal of Algebraic Statistics, 2009-present.
Editorial Board, ISRN Computational Mathematics, 2011-present.
Additional Campus Affiliations
Interim Chair, Statistics
Director, Illinois Statistics Office, Statistics
Professor, Statistics
Professor, Information Trust Institute
Professor, Coordinated Science Lab
External Links
Recent Publications
Chakrabarty, S., Mudar, R., Chen, Y., & Husain, F. T. (2024). Contribution of Tinnitus and Hearing Loss to Depression: NHANES Population Study. Ear and hearing, 45(3), 775-786. https://doi.org/10.1097/AUD.0000000000001467
Chen, Y., Culpepper, S. A., & Chen, Y. (2023). Bayesian Inference for an Unknown Number of Attributes in Restricted Latent Class Models. Psychometrika, 88(2), 613-635. https://doi.org/10.1007/s11336-022-09900-7
Chen, Y., Sewell, D., Zhang, P., & Zhu, X. (2023). Editorial: Advances in Network Data Science. Journal of Data Science, 21(3), 443-445. https://doi.org/10.6339/23-JDS213EDI
Cui, X., & Chen, Y. (2023). INFERRING SOCIAL INFLUENCE IN DYNAMIC NETWORKS. Statistica Sinica, 33(1). https://doi.org/10.5705/ss.202020.0310
Fredrickson, M. M., & Chen, Y. (2023). Testing attributable effects hypotheses with an application to the Oregon Health Insurance Experiment*. Statistics and its Interface, 16(3), 349-361. https://doi.org/10.4310/22-SII724