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Current Projects
Current Projects
Office of Naval Research and National Oceanic & Atmospheric Administration - Developing process based data fusion models to enhance understanding in the distribution and abundance of North Atlantic right whales.
NSF RTG: Modeling and Uncertainty Quantification for Life Sciences
USGS Climate Adaptation Science Centers
National Institute of Statistical Science
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
Select Publications
Schliep, E.M., A.E. Gelfand, C.W. Clark, C.M. Mayo, B. McKenna, S.E. Parks, T.M. Yack, R.S. Schick. (2024) Assessing marine mammal abundance: a novel data fusion. Annals of Applied Statistics.
Custer, C.A., J.S. North, E.M. Schliep, H.K. Masui, M.R. Verhoeven, G.J.A. Hansen, T. Wagner. (2024) Predicting fish responses to climate change using a joint species, spatially dependent physiologically guided abundance model. Ecology.
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).
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