Publications
Please see My Google Scholar Page for links to my academic publications and for citations of said publications. A list of these is below:
32. Eager, E.A., Brown, B., English, H., Schwartz, G., Seth, T. (2024) Using Tracking Data to Build Offensive Line Development Tools. MIT Sloan Sports Analytics Conference Paper.
31. Eager, E.A., Erickson, R.A. (2023) Football Analytics with Python and R: Learning Data Science Through the Lens of Sports. O'Reilly Media. Buy it here.
30. Erickson, R.A., Bauman, D., Bennie, B., Bungula, W., Cupp, W., Diffendorfer, J., Eager, E., Haro, R., Jankowski, K.J., Larson, D., Sandland, G., Van Appledorn, M.V., Peirce, J. (2023) Bridging the Gap Between Mathematical Biology and Undergraduate Education Using Applicable Natural Resource Modeling. Letters in Biomathematics 10 (1): 185-191.
29. Eager, E., Seth, T. (2023) Investigating the Trade Offs Made by American Football Linebackers Using Tracking Data. Journal of Quantitative Analysis of Sports 19 (3): 171-185.
28. Eager, E., Brown, B., Chahrouri, G., Riske, T., Spielberger, B., Sze Yui, L., Drapkin, Z.*, Seth, T.* (2022) Using Tracking and Charting Data to Better Evaluate NFL Players: A Review. MIT Sloan Sports Analytics Conference Research Paper.
27. Callahan, J., Eager, E., Rebarber, R., Strawbridge, E., Yuan, S. (2021) Correction To: Analysis of a Length-Structured Model for Fish. Bulletin of Mathematical Biology 83(8): 1-3
26. Eager, E. (2021) A Mathematical Journey to Football. SIAM News, April 2021
25. Eager, E., Chahrouri, G. (2020) PFF WAR: Modeling Player Value in American Football. MIT Sloan Sports Analytics Conference Research Paper
24. Callahan, J., Eager, E., Rebarber, R., Strawbridge, E., Yuan, S. (2019) Analysis of a Length-Structured Model for Fish. Bulletin of Mathematical Biology 81(10): 3732-3753
23. Erickson, R.A., Eager., E.A., Kocovsky, P.M., Glover, D.C., Kallis, J.L., Long, K.R. (2018) A spatially discrete, integral projection model and its application to invasive carp. Ecological Modelling 387: 163-171
22. Bennie, B., Eager, E.A., Erickson, E.A., Peirce, J.P., Sandland, G.J. (2018) Using a Summer REU to Help Develop the Next Generation of Mathematical Ecologists. Bulletin of Mathematical Biology 80(4): 926-944
21. Erickson, R.A., Eager, E.A., Brey, M.K., Hansen, M.J., Kocovsky, P.M. (2017) An Integral Projection Model with YY-males and Application to Evaluating Grass Carp Control. Ecological Modelling 361: 14-25
20. Eager, E.A., Tenhumberg, B., Pilson, D., Alexander, H. (2017) Assessing the Effects of Temporal Autocorrelations on the Long-Term Dynamics of a Stochastic Integral Projection Model for a Disturbance Specialist Plant and its Seed Bank. The American Naturalist
19. Haider, H.S.*, Oldfield, S.*, Tu, T.,*, Moreno, R.*, Diffendorfer, J. E., Eager, E.A, Erickson, R.E. (2017) Incorporating Allee Effects into the Potential Biological Removal Criterion. Natural Resource Modeling 30 (3): 1-16
18. Becker, B.K., Schiller, A.M., Zucker, I.H., Eager, E.A., Bronner, L., Godfrey, M. (2017) A Day of Immersive Physiology Experiments Increases Knowledge and Excitement Towards Physiology and Scientific Careers in Native American Students. Advances in Physiology Education 41(1): 137-144
17. Erickson, E.A., Eager, E.A., Gray, B.R. (2017) Estimating Temporal Trends in Environmental Monitoring Data. Ecological Indicators 74: 62-72
16. Eager, E. A., Rebarber, R. (2016) Sensitivity and Elasticity Analysis of a Lure System Used to Model a Population Subject to Density-Dependent Reproduction. Mathematical Biosciences 282(2): 34-45
15. Eberle, M,* Garza, A.*, Eager, E.A. (2016) Modeling and Analysis of Germ Layer Formations Using Finite Dynamical Systems. SPORA 1(2): 11-17
14. Eberle, M.*, Eager, E.A., Peirce, J. (2016) How Infectious was #Deflategate? SPORA 1(1): 28-35
13. Eager, E.A. (2016) Modelling and Analysis of Population Dynamics Using Lur'e Systems Accounting for Competition from Adult Conspecifics. Letters in Biomathematics 3(1): 41-58
12. Viss, C.*, Clark, T., Eager, E. (2016) Modeling Lotic Organism Population with Partial Differential Equations. SIAM Undergraduate Research Online (SIURO) 9: 56 - 69
11. Erickson, R.A., Eager, E.A., Stanton, J.C., Beston, J.A., Diffendorfer, J.E., Thogmartin, W.E. (2015) Assessing Local Population Vulnerability with Branching Process Models. Ecosphere 6 (12): 1-14
10. Baines, A.D., Eager, E.A., Jarosz, A.M. (2014) Modeling and Analysis of American Chestnut Populations Subject to Various Stages of Infection. Letters in Biomathematics 1(2): 235-247
9. Eager, E.A., Peirce, J., Barlow, P. (2014) Math Bio or BioMath? Flipping the Mathematical Biology Classroom. Letters in Biomathematics 1(2): 139-155
8. Chirakkal, H.V., Eager, E.A., Rebarber, R., Tenhumberg B. (2014) Frequency - Dependent Population Dynamics: Effects of Sex Ratio and Mating System on the Elasticity of Population Growth Rate. Theoretical Population Biology 97:49-56
7. Eager, E.A., Rebarber, R., Tenhumberg. (2014) Modeling and Analysis of a Density-Dependent Stochastic Integral Projection Model for a Disturbance Specialists Plant and its Seed Bank. Bulletin of Mathematical Biology 76(7): 1809-1834
6. Eager, E.A., Rebarber, R., Tenhumberg, B. (2014) Global Asymptotic Stability of Plant Seed Bank Models. Journal of Mathematical Biology 69: 1-37
5. Eager, E.A., Guiver, C., Hodgson, D., Rebarber, R., Stott, I., Townley, S. (2014) Bounds on the Dynamics of Sink Populations with Noisy Immigration. Theoretical Population Biology 92: 88-96
4. Eager, E., Hellwig, E.*, Herbert, M.*, Hernandez, F.*, Rebarber, R., Tenhumberg, B., Wigianto, B.* (2013) Global Attracting Equilibria for Coupled Systems with Ceiling Density Dependence. International Journal of Difference Equations 8(2): 179-193
3. Eager, E.A., Haridas, C.V., Pilson, D., Rebarber, R., Tenhumberg, B. (2013) Disturbance Frequency and Vertical Distribution of Seeds Affect Long-Term Population Dynamics: a Mechanistic Seed Bank Model. The American Naturalist 182:180-190
2. Avery, M., Banks, H.T., Basu, K., Cheng, Y., Eager, E., Khasawinah, S., Potter, L., Rehm, K.L. (2012) Experimental Design and Inverse Problems in Plant Biological Modeling. Journal of Inverse and Ill-Posed Problems 20(2): 169-191
1. Eager, E.A., Rebarber, R., Tenhumberg, B. (2012) Choice of Density Dependent Seedling Recruitment Function Affects Predicted Transient Dynamics: A Case Study with Platte Thistle. Theoretical Ecology 5(3): 387-401
0. Eager, E.A., (2012) Modeling and Mathematical Analysis of Plant Models in Ecology. Ph.D. Thesis, University of Nebraska - Lincoln
* Indicates undergraduate coauthor