Research

Current Projects

Office of Naval Research and National Oceanic & Atmospheric Administration - Devloping process based data fusion models to enhance understanding in the disbribution and abundance of North Atlantic right whales.

National Institute of Statistical Science

USGS Climate Adaptation Science Centers 

Continental Limnology - Developing joint distribution models for studying the spatial patterns of continental-scale pools of lake nutrients, their environmental drivers, and identifying the role that ecological novelty affects continental-scale prediction.

Select Publications

North, J.S., E.M. Schliep, G.J.A. Hansen, H. Kundel, C.A. Custer, P. McLaughlin, T. Wagner (2023). Accounting for spatio-temporal sampling variation in joint species distribution models. Journal of Applied Ecology.

North, J.S., C.K. Wikle, E.M. Schliep (2023). A Bayesian Approach for Spatio-Temporal Data-Driven Dynamic Equation Discovery. Bayesian Analysis.

North, J. S., C.K Wikle, & E. M. Schliep (2023). A Review of Data‐Driven Discovery for Dynamic Systems. International Statistical Review.

Schliep, E. M., C.K. Wikle, & R. Daw (2023). Correcting for informative sampling in spatial covariance estimation and kriging predictions. Journal of Geographical Systems, 1-27.

North, J.S., C.K. Wikle, E.M. Schliep (2022). A Bayesian Approach for Data-Driven Dynamic Equation Discovery. Journal of Agricultural, Biological, and Environmental Statistics. doi:10.1007/s13253-022-00514-1

Schliep, E.M., A.E. Gelfand, J. Abaurrea, J. As ́ın, M. A. Beamonte, A.C. Cebri ́an. (2021) Long-term spatial modeling for characteristics of extreme heat events. Journal of the Royal Statistical Society, Series A (Statistics in Society), 184(3), 1070-1092.

Schliep, E.M., T.L.J. Schafer, M. Hawkey. (2021) Distributed lag models to identify the cumulative effects of training and recovery in athletes using multivariate ordinal wellness data. Journal of Quantitative Analysis of Sports, 17(3), 241-254.

North, J.S., E.M. Schliep, C.K. Wikle. (2021) On the spatial and temporal shift in the archetypal seasonal temperature cycle as driven by annual and semi-annual harmonics. Environmetrics, 32(6), e2665.

Schliep, E.M., S.M. Collins, S. Rojas Salazar∗, N.R. Lottig, E.M. Stanley (2020). Data fusion model to identify environmental drivers and improve estimation of total nitrogen in lakes. The Annals of Applied Statistics, 14(4), 1651-1675.

Soranno, P.A., K.S. Cheruvelil, B. Liu, Q. Wang, P.N. Tan, J. Zhou, K.B.S. King, I.M. McCullough, J. Stachelek, M. Bartley, C.T. Filstrup, E.M. Hanks, J.F. Lapierre, N.R. Lottig, E.M. Schliep, T. Wagner, K.E. Webster. (To Appear). Ecological prediction at macroscales using big data: Does sampling design matter? Ecological Applications.

Bartley, M.L., E.M. Hanks, E.M. Schliep, P.A. Soranno, T. Wagner (2019). Identifying and characterizing extrapolation in multivariate response data. PLOS ONE, 14(12).

Gelfand, A.E., E.M. Schliep (2018). Bayesian Inference and Computing for Spatial Point Patterns. NSF-CBMS Regional Conference Series in Probability and Statistics, 10, i-125. Institute of Mathematical Statistics and the American Statistical Association.