| Predicting climate change impacts on poikilotherms using physiologically guided species abundance models T Wagner, EM Schliep, JS North, H Kundel, CA Custer, JK Ruzich, ... Proceedings of the National Academy of Sciences 120 (15), e2214199120, 2023 | 10 | 2023 |
| A Bayesian approach for data-driven dynamic equation discovery JS North, CK Wikle, EM Schliep Journal of Agricultural, Biological and Environmental Statistics 27 (4), 728-747, 2022 | 8 | 2022 |
| A Review of Data‐Driven Discovery for Dynamic Systems JS North, CK Wikle, EM Schliep International Statistical Review 91 (3), 464-492, 2023 | 6 | 2023 |
| On the spatial and temporal shift in the archetypal seasonal temperature cycle as driven by annual and semi‐annual harmonics JS North, EM Schliep, CK Wikle Environmetrics 32 (6), e2665, 2021 | 5 | 2021 |
| A statistical approach to fast nowcasting of lightning potential fields J North, Z Stanley, W Kleiber, W Deierling, E Gilleland, M Steiner Advances in Statistical Climatology, Meteorology and Oceanography 6 (2), 79-90, 2020 | 3 | 2020 |
| A Bayesian Approach for Spatio-Temporal Data-Driven Dynamic Equation Discovery JS North, CK Wikle, EM Schliep Bayesian Analysis 1 (1), 1-30, 2023 | 2 | 2023 |
| Data in support of accounting for spatio-temporal variation in catachability in joint species distribution models JS North, EM Schliep, GJA Hansen, H Kundel, CA Custer, P McLaughlin | 1 | 2022 |
| Accounting for spatiotemporal sampling variation in joint species distribution models JS North, EM Schliep, GJA Hansen, H Kundel, CA Custer, P McLaughlin, ... Journal of Applied Ecology 61 (1), 186-201, 2024 | | 2024 |
| A Statistical Model for Structured Empirical Orthogonal Functions J North, MD Risser, FJ Breidt AGU23, 2023 | | 2023 |
| A flexible class of priors for conducting posterior inference on structured orthonormal matrices JS North, MD Risser, FJ Breidt arXiv preprint arXiv:2307.13627, 2023 | | 2023 |
| Data in Support of Predicting climate change impacts on poikilotherms using physiologically guided species abundance models EM Schliep, JS North, H Kundel, CA Custer, JK Ruzich, GJA Hansen | | 2022 |
| A Bayesian Approach to Data-Driven Discovery of Nonlinear Dynamic Equations JS North University of Missouri-Columbia, 2022 | | 2022 |
| On the spatial and temporal shift in the archetypal seasonal temperature cycle as driven by annual and semi†annual harmonics JS North, EM Schliep, CK Wikle Environmetrics 32 (6), 2020 | | 2020 |
Erin SchliepNorth Carolina State UniversityVerified email at ncsu.edu
