| Statistical downscaling with spatial misalignment: Application to wildland fire PM concentration forecasting S Majumder, Y Guan, BJ Reich, S O'Neill, AG Rappold arXiv preprint arXiv:1909.12429, 2019 | 93* | 2019 |
| A review of spatial causal inference methods for environmental and epidemiological applications BJ Reich, S Yang, Y Guan, AB Giffin, MJ Miller, A Rappold International Statistical Review 89 (3), 605-634, 2021 | 89 | 2021 |
| A comparison of statistical and machine learning methods for creating national daily maps of ambient PM2. 5 concentration VJ Berrocal, Y Guan, A Muyskens, H Wang, BJ Reich, JA Mulholland, ... Atmospheric Environment 222, 117130, 2020 | 74 | 2020 |
| Mimix: A bayesian mixed-effects model for microbiome data from designed experiments NS Grantham, Y Guan, BJ Reich, ET Borer, K Gross Journal of the American Statistical Association 115 (530), 599-609, 2020 | 57 | 2020 |
| A computationally efficient projection-based approach for spatial generalized linear mixed models Y Guan, M Haran Journal of Computational and Graphical Statistics 27 (4), 701-714, 2018 | 42 | 2018 |
| Assessing the impact of retreat mechanisms in a simple Antarctic ice sheet model using Bayesian calibration KL Ruckert, G Shaffer, D Pollard, Y Guan, TE Wong, CE Forest, K Keller PloS one 12 (1), e0170052, 2017 | 38 | 2017 |
| Probabilistic projections of baseline twenty-first century CO2 emissions using a simple calibrated integrated assessment model V Srikrishnan, Y Guan, RSJ Tol, K Keller Climatic change 170 (3), 1-20, 2022 | 31 | 2022 |
| Spectral adjustment for spatial confounding Y Guan, GL Page, BJ Reich, M Ventrucci, S Yang Biometrika 110 (3), 699-719, 2023 | 26 | 2023 |
| Fine-scale spatiotemporal air pollution analysis using mobile monitors on Google Street View vehicles Y Guan, MC Johnson, M Katzfuss, E Mannshardt, KP Messier, BJ Reich, ... Journal of the American Statistical Association 115 (531), 1111-1124, 2020 | 22 | 2020 |
| Nearest-neighbor neural networks for geostatistics H Wang, Y Guan, B Reich 2019 International Conference on Data Mining Workshops (ICDMW), 196-205, 2019 | 22 | 2019 |
| Computer model calibration based on image warping metrics: an application for sea ice deformation Y Guan, C Sampson, JD Tucker, W Chang, A Mondal, M Haran, D Sulsky Journal of Agricultural, Biological and Environmental Statistics, 1-20, 2018 | 12 | 2018 |
| The effects of time-varying observation errors on semi-empirical sea-level projections KL Ruckert, Y Guan, AMR Bakker, CE Forest, K Keller Climatic Change 140 (3-4), 349-360, 2017 | 12 | 2017 |
| Fast expectation-maximization algorithms for spatial generalized linear mixed models Y Guan, M Haran arXiv preprint arXiv:1909.05440, 2019 | 10 | 2019 |
| Inferring ice thickness from a glacier dynamics model and multiple surface data sets Y Guan, M Haran, D Pollard Environmetrics 29 (5-6), e2460, 2018 | 9 | 2018 |
| Ice model calibration using semicontinuous spatial data W Chang, BA Konomi, G Karagiannis, Y Guan, M Haran The Annals of Applied Statistics 16 (3), 1937-1961, 2022 | 7 | 2022 |
| Kryging: geostatistical analysis of large-scale datasets using Krylov subspace methods S Majumder, Y Guan, BJ Reich, AK Saibaba Statistics and Computing 32 (5), 74, 2022 | 5 | 2022 |
| Integrative statistical methods for exposure mixtures and health BJ Reich, Y Guan, D Fourches, JL Warren, SE Sarnat, HH Chang The Annals of Applied Statistics 14 (4), 1945-1963, 2020 | 4 | 2020 |
| A Data-Fusion Approach to Assessing the Contribution of Wildland Fire Smoke to Fine Particulate Matter in California H Yang, S Ruiz-Suarez, BJ Reich, Y Guan, AG Rappold Remote Sensing 15 (17), 4246, 2023 | 3 | 2023 |
| Discussion on “Spatial+: A novel approach to spatial confounding” by Dupont, Wood, and Augustin BJ Reich, S Yang, Y Guan Biometrics 78 (4), 1291-1294, 2022 | 3 | 2022 |
| Multivariate spectral downscaling for PM2. 5 species Y Guan, BJ Reich, JA Mulholland, HH Chang arXiv preprint arXiv:1909.03816, 2019 | 2 | 2019 |
