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Yuguo Chen

Profile picture for Yuguo Chen

Contact Information

103D Illini Hall
725 S. Wright St.
M/C 374
Champaign, IL 61820
Director of Consulting, Professor

Biography

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

Director, Illinois Statistics Office, Statistics
Professor, Statistics
Professor, Information Trust Institute
Professor, Coordinated Science Lab

Honors & Awards

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.

Recent Publications

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

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

Liu, Y., Culpepper, S. A., & Chen, Y. (2023). Identifiability of Hidden Markov Models for Learning Trajectories in Cognitive Diagnosis. Psychometrika, 88(2), 361-386. https://doi.org/10.1007/s11336-023-09904-x

Loyal, J. D., & Chen, Y. (2023). A Bayesian Nonparametric Latent Space Approach to Modeling Evolving Communities in Dynamic Networks. Bayesian Analysis, 18(1), 49-77. https://doi.org/10.1214/21-BA1300

View all publications on Illinois Experts