| Chaotic and statistical tests on fiber optic dynamic data taken from the riser section of a circulating fluidized bed RW Breault, EM Casleton, CP Guenther Powder technology 220, 151-163, 2012 | 25 | 2012 |
| Identification of topology changes in power grids using phasor measurements SV Wiel, R Bent, E Casleton, E Lawrence Applied Stochastic Models in Business and Industry 30 (6), 740-752, 2014 | 21 | 2014 |
| A local structure model for network analysis E Casleton, D Nordman, M Kaiser Statistics and Its Interface 10 (LA-UR-16-20622), 2017 | 14 | 2017 |
| Imputation for multisource data with comparison and assessment techniques E Casleton, D Osthus, K Van Buren Applied Stochastic Models in Business and Industry 34 (1), 44-60, 2018 | 10 | 2018 |
| Predicting the power level of a nuclear reactor by combining multiple modalities GS Flynn, NK Parikh, AE Egid, EM Casleton Los Alamos National Lab.(LANL), Los Alamos, NM (United States), 2019 | 6 | 2019 |
| A pilot study teaching metrology in an introductory statistics course E Casleton, A Beyler, U Genschel, A Wilson Journal of Statistics Education 22 (3), 2014 | 6 | 2014 |
| On gauge repeatability and reproducibility studies for counts D Osthus, BP Weaver, EM Casleton, MS Hamada, SH Steiner Quality Engineering 33 (4), 641-654, 2021 | 5 | 2021 |
| Local structure graph models with higher‐order dependence EM Casleton, DJ Nordman, MS Kaiser Canadian Journal of Statistics 49 (2), 497-513, 2021 | 5 | 2021 |
| Tracking the location of a road-constrained radioactive source with a network of detectors D Osthus, P Mendoza, P Lalor, E Casleton, D Archer, J Ghawaly, ... Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2022 | 4 | 2022 |
| Multi-INT Signature Collection and Exploitation for Security: Improving Discrimination, Analyses, and Passive Tracking Capabilities for Time-and Distance-Varying Signatures in … JD Webster, JD Carmichael, EM Casleton, ES Schultz-Fellenz, ... Los Alamos National Lab.(LANL), Los Alamos, NM (United States), 2021 | 2 | 2021 |
| Multiphenomenology explosion monitoring (MultiPEM): A general framework for data interpretation and yield estimation BJ Williams, WP Brug, EM Casleton, EM Syracuse, PS Blom, ... Geophysical Journal International 226 (1), 14-32, 2021 | 2 | 2021 |
| Modeling transitivity in local structure graph models E Casleton, DJ Nordman, MS Kaiser Sankhya A, 1-29, 2021 | 2 | 2021 |
| Statistically significant relational data mining: LDRD report T Berger-Wolf, JW Berry, S Bhowmick, E Casleton, M Kaiser, VJ Leung, ... Tech. Rep. SAND2014-1105. February, 2014 | 2 | 2014 |
| Building performance evaluation framework of foundation models for nonproliferation applications A Skurikhin, G Flynn, M Geyer, G Gopalan, N Klein, J Moore, M Myshatyn, ... Proceedings of the 2nd Joint Annual Meeting of the Institute of Nuclear …, 2023 | 1 | 2023 |
| Analyzing count data with measurement error MS Hamada, EM Casleton, D Osthus, BP Weaver, SH Steiner Quality and Reliability Engineering International 38 (5), 2345-2355, 2022 | 1 | 2022 |
| Facility scale in-situ source localization and assay via a sparse 3He neutron detector array: enhancing nuclear material control and accounting in nuclear fuel cycle facilities T Stockman, S Sarnoski, E Casleton, V Henzl, M Iliev, P Mendoza, ... Los Alamos National Lab.(LANL), Los Alamos, NM (United States), 2021 | 1 | 2021 |
| Feature Importance and Classification from Disparate Data Streams for Facility Pattern-of-Life Characterization in the Context of Nuclear Safeguards E Casleton, P Mendoza, R Rael, J Woodring, V Henzl Los Alamos National Lab (LANL), Los Alamos, NM (United States), 2021 | 1 | 2021 |
| MINOS Infrasound Analysis Synopsis AE Egid, EM Casleton, D Chichester, E Cardenas, M Garces Los Alamos National Lab.(LANL), Los Alamos, NM (United States), 2021 | 1 | 2021 |
| Input estimation and dimension reduction for material models S Myren, E Herrera, A Shoats, E Lawrence, E Casleton, DJ Luscher, ... Model Validation and Uncertainty Quantification, Volume 3: Proceedings of …, 2020 | 1 | 2020 |
| Feature Detection and Geovisualisation from LiDAR point clouds and Aerial Photography using Bayesian Non Parametric Clustering A Roy, EM Casleton, G Fairchild, TA Nelson AGU Fall Meeting Abstracts 2018, IN51D-0614, 2018 | 1 | 2018 |
