Eric Fox's Homepage
I am an Assistant Professor with the Department of Statistics and Biostatistics at Cal State East Bay.
Email: eric.fox@csueastbay.edu
Office: SC-N 303A
CV
Research Interests
Spatial statistics, point processes, and statistical learning with applications to ecology, seismology, and social networks.
Undergraduate Teaching
- STAT 310: Statistics for Social Sciences (Syllabus)
- STAT 320: Intro to Probability Theory (Syllabus)
- STAT 321: Probability Through Simulation (Syllabus)
- STAT 432: Intro to Linear and Logistic Regression (Syllabus)
- STAT 450: Intro to R for Data Science (Syllabus)
- STAT 452: Intro to Statistical Learning (Syllabus)
Graduate Teaching (MS Program)
- STAT 630: Statistical Methods (Syllabus)
- STAT 632: Linear and Logistic Regression (Syllabus)
- STAT 650: R for Data Science (Syllabus)
Papers
- Fox, E.W., Ver Hoef, J.M., and Olsen, A.R. (2020). Comparing spatial regression to random forests for large environmental data sets. PLOS ONE, 15(3): e0229509. (PDF)
- Lewis, N.S., Fox, E.W., and DeWitt, T.H. (2019). Estimating the distribution of harvested estuarine bivalves with natural-history-based habitat suitability models. Estuarine, Coastal and Shelf Science, 219, 453-472.
- Hill, R.A., Fox, E.W., Leibowitz, S.G., Olsen, A.R., Thornbrugh, D.J., and Weber, M.H. (2017). Predictive mapping of the biotic condition of conterminous-USA rivers and streams. Ecological Applications, 27(8), 2397-2415.
- Fox, E.W., Hill, R.A., Leibowitz, S.G., Olsen, A.R., Thornbrugh, D.J., and Weber, M.H. (2017). Assessing the accuracy and stability of variable selection methods for random forest modeling in ecology. Environmental Monitoring and Assessment, 189(7). (PDF)
- Fox, E.W., Schoenberg, F.P., and Gordon, J.S. (2016). Spatially inhomogeneous background rate estimators and uncertainty quantification for nonparametric Hawkes point process models of earthquake occurrences. Annals of Applied Statistics, 10(3), 1725-1756. (PDF; Supplement)
- Fox, E.W., Short, M.B., Schoenberg, F.P., Coronges, K., and Bertozzi, A.L. (2016). Modeling e-mail networks and inferring leadership using self-exciting point processes. Journal of the American Statistical Association, 111(514), 564-584. (PDF)
- Lai, E., Moyer, D., Yuan, B., Fox, E.W., Hunter, B., Bertozzi, A.L., and Brantingham, P.J. (2016). Topic time series analysis of microblogs. IMA Journal of Applied Mathematics, 81(3), 409-431.