605 E Springfield Ave
Champaign, IL 61820
I am an Assistant Professor in the Department of Statistics.
statistics in sports
generalized linear models
I am very interested in developing useful statistical methodology for practitioners in a variety of scientific and industrial fields. I am particularly interested in the tradeoffs between robustness and efficiency in estimation.
I am interested in a wide variety of disciplines within Statistics. These include, but are not limited to, maximum likelihood estimation, exponential family theory, generalized linear models, model averaging, envelope methodology, conformal prediction, causal inference, bootstrap techniques, and multivariate statistics.
UIUC Statistics graduate students are encouraged to reach out to me if you are looking for research opportunities. I currently have several methodological and programming projects in forecasting, variance reduction, baseball and full house methodology, and life-history analyses using the aster model.
PhD Statistics, University of Minnesota, 2017
BS Mathematics, Southern Illinois University Carbondale, 2009
STAT 430 - Baseball Analytics
STAT 528 - Advanced Regression Analysis II
STAT 385 - Statistics Programming Methods
Eck, D. J. (2023). General model-free weighted envelope estimation. Electronic Journal of Statistics, 17(1), 519-547. https://doi.org/10.1214/23-EJS2105
Eck, D. J., Morozova, O., & Crawford, F. W. (2022). Randomization for the susceptibility effect of an infectious disease intervention. Journal of Mathematical Biology, 85(4), . https://doi.org/10.1007/s00285-022-01801-8
May, G., Shaw, R. G., Geyer, C. J., & Eck, D. J. (2022). Do Interactions among Microbial Symbionts Cause Selection for Greater Pathogen Virulence? American Naturalist, 199(2), 252-265. https://doi.org/10.1086/717679
Eck, D. J., & Geyer, C. J. (2021). Computationally efficient likelihood inference in exponential families when the maximum likelihood estimator does not exist. Electronic Journal of Statistics, 15(1), 2105-2156. https://doi.org/10.1214/21-EJS1815
Lin, J., & Eck, D. J. (2021). Minimizing post-shock forecasting error through aggregation of outside information. International Journal of Forecasting, 37(4), 1710-1727. https://doi.org/10.1016/j.ijforecast.2021.03.010