Dr. Eric Smith


Dr. Eric Smith is a Professor and former Department Head in the Department of Statistics at Virginia Tech. He is also the former Director of the Computational Modeling and Data Analytics Program (CMDA), a new undergraduate major designed to teach a rich suite of quantitative skills for tackling massive data-based problems. Dr. Smith’s interests include multivariate analysis, multivariate graphics, biological sampling and modeling, ecotoxicology, data analytics, and visualization. He teaches courses in Biological Statistics, Biometry, Consulting, Data Mining, and Multivariate Methods. His courses focus on extracting information from large data sets, and on analyzing and solving problems through fast algorithms, accurate models, evolving statistical methodology, and quantification of uncertainty.


Department Website

Eric Smith, Stat

Recent Relevant Publications

Trumbo, B.A., K.H. Nislow, J. Stallings, M. Hudy. E.P. Smith, D. Kim, B. Wiggins and C. A. Dolloff (2014). Ranking Site Vulnerability to Increasing Temperatures in Southern Appalachian Brook Trout Streams in Virginia: An Exposure-Sensitivity Approach. Transactions of the American Fisheries Society 143: 173-187.

Velasco-Cruz, C and E.P. Smith. (2014). Using Benthic Indicators to Assess Status at HUC Levels: A Robust Hierarchical Modeling Approach. Ecological Indicators 36: 447–455.

Li, H., X. Deng, D. Kim and E.P. Smith (2014). Modeling maximum daily temperature using a varying coefficient regression model. Water Resources Research 50:3073-3087.

Jiao, Y., E. P. Smith, R. O’Reilly, and D. J. Orth. (2012). Modeling non-stationary natural mortality in catch-at-age models. Journal of Marine Science ICES J. Mar. Sci. 69(1): 105-118 doi:10.1093/icesjms/fsr184.

Nislow, K.H., M. Hudy, B.H. Letcher and E.P. Smith. (2011). Variation in local abundance and species richness in relation to dispersal barriers: implications for management and conservation. Freshwater Biology. 56, 2135–2144.

Boone, E.L., K. Ye and E.P. Smith (2011). Assessing environmental stressors via Bayesian model averaging in the presence of missing data. Environmentics 22:13-22.

Boone, EL, Ye, K. and Smith, E.P. (2009) Using data augmentation via the Gibbs Sampler to incorporate missing covariate structure into linear models for ecological assessment. Environmental and Ecological Statistics 16:75-87.

Hagerthey, S., Newman, S., Rutchey, K., Smith, E.P., and Godin, J. (2008). The regime shift boundary in a subtropical wetland: Establishing ecological thresholds to low-level phosphorus enrichment. Ecological Monographs 78(4): 547-565.