| Predicting West Nile Virus infection risk from the synergistic effects of rainfall and temperature. MO Shand, L., Brown, W. M., Chaves, L. F., Goldberg, T. L., Hamer, G. L ... Journal of Medical Entomology 53 (4), 935-944, 2016 | 51 | 2016 |
| Elastic depths for detecting shape anomalies in functional data T Harris, JD Tucker, B Li, L Shand Technometrics 63 (4), 466-476, 2021 | 31 | 2021 |
| Modeling nonstationarity in space and time L Shand, B Li Biometrics 73 (3), 759-768, 2017 | 30 | 2017 |
| Handling missing data in self-exciting point process models JD Tucker, L Shand, JR Lewis Spatial statistics 29, 160-176, 2019 | 18 | 2019 |
| Spatially varying auto-regressive models for prediction of new human immunodeficiency virus diagnoses L Shand, B Li, T Park, D Albarracín Journal of the Royal Statistical Society Series C: Applied Statistics 67 (4 …, 2018 | 18 | 2018 |
| Multimodal Bayesian registration of noisy functions using Hamiltonian Monte Carlo JD Tucker, L Shand, K Chowdhary Computational Statistics & Data Analysis 163, 107298, 2021 | 6 | 2021 |
| Spatio-temporal extreme event modeling of terror insurgencies L Patel, L Shand, JD Tucker, G Huerta arXiv preprint arXiv:2110.08363, 2021 | 6 | 2021 |
| An optical flow approach to tracking ship track behavior using GOES-R satellite imagery KM Larson, L Shand, A Staid, S Gray, EL Roesler, D Lyons IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 4 | 2022 |
| Toward data assimilation of ship-induced aerosol–cloud interactions L Patel, L Shand Environmental Data Science 1, e31, 2022 | 4 | 2022 |
| An efficient approach for tracking the aerosol-cloud interactions formed by ship emissions using GOES-R satellite imagery and AIS ship tracking information L Shand, KM Larson, A Staid, S Gray, EL Roesler, D Lyons arXiv e-prints, arXiv: 2108.05882, 2021 | 3 | 2021 |
| Performance assessment for climate intervention (PACI): preliminary application to a stratospheric aerosol injection scenario L Wheeler, T Zeitler, S Brunell, J Lien, L Shand, B Wagman, C Martinez, ... Frontiers in Environmental Science 11, 1205515, 2023 | 1 | 2023 |
| Simulating cloud-aerosol interactions made by ship emissions L Patel, L Shand arXiv preprint arXiv:2111.05356, 2021 | 1 | 2021 |
| Assessing Extreme Value Analysis to predict rare events from the Global Terrorism Database. L Patel, L Shand, JD Tucker, JG Huerta Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020 | 1 | 2020 |
| A robust bayesian approach to function registration in {R} 1 JD Tucker, L Shand, K Chowdhary arXiv: Methodology, 2020 | 1 | 2020 |
| A statistical representation of pyrotechnic research igniter output S Guo, MA Cooper, L Shand AIP Conference Proceedings 1979 (1), 2018 | 1 | 2018 |
| Autocalibration of the E3SM version 2 atmosphere model using a PCA‐based surrogate for spatial fields D Yarger, BM Wagman, K Chowdhary, L Shand Journal of Advances in Modeling Earth Systems 16 (4), e2023MS003961, 2024 | | 2024 |
| Climate Research for National Security at the NNSA National Laboratories L Shand, D Hackenburg, T Pitts, E Hillman, J Vandersall, SF Price, ... AGU23, 2023 | | 2023 |
| Multi-step attribution–the bridge to enable climate security DL Bull, KJ Peterson, DJ Krofcheck, I Tezaur, L Shand, L Swiler, H Brown, ... AGU23, 2023 | | 2023 |
| CLDERA. AGU Fall 2022. D Bull, K Peterson, I Tezaur, L Shand, LP Swiler Sandia National Lab.(SNL-NM), Albuquerque, NM (United States); Sandia …, 2022 | | 2022 |
| CLDERA: A Novel Foundational Approach for Attributing Impacts to Localized Source Forcings in the Climate DL Bull, KJ Peterson, I Tezaur, L Shand, L Swiler AGU Fall Meeting Abstracts 2022, GC25H-0769, 2022 | | 2022 |
