Brennan Bean

Publications | Book Chapters

• Bean, B., (2025). Reliability Basis for Snow Design Loads: Structural Reliability Guidance in ASCE 7-22. American Society of Civil Engineers

An asterisk (*) at the end of a publication indicates that it has not been peer-reviewed.

Publications | Journal Articles

Academic Journal

• Wheeler, J., Lindstrom, C., Bean, B., Jenkins, S., Christensen, R., Moon, K., (2025). Inferring Inertial Navigation Errors from SAR Image Distortions using a Convolutional Neural Network. NAVIGATION: Journal of the Institute of Navigation, 72:4, doi: 10.33012/navi.727
• Campbell, T., Bean, B., (2025). Factors influencing young children's mathematical wellbeing in the United States. Social Indicators Research
• Ratterman, C., Zhang, W., Affram, G., Bean, B., (2025). Improving CFSv2 Snow Water Equivalent Forecasts in the Colorado River Basin with Generalized Analog Regression Downscaling. Weather and Forecasting, 40:11, 2381-2389. doi: 10.1175/waf-d-23-0196.1
• Bean, B., (2025). Exploring variations in design methods for service design of insulated concrete wall panels. Engineering Structures, 340, 120719. doi: 10.1016/j.engstruct.2025.120719
• Ratterman, C., Zhang, W., Affram, G., Bean, B., (2025). Improving CFSv2 Snow Water Equivalent Forecasts with Statistical Downscaling. Weather and Forecasting, doi: https://doi.org/10.1175/WAF-D-23-0196.1
• Bean, B., (2025). Beyond Development: Challenges in Deploying Machine-Learning Models for Structural Engineering Applications. Journal of Structural Engineering, 151:6, doi: 10.1061/jsendh.steng-13301
• Bean, B., (2025). Factors Influencing Young Children’s Mathematical Wellbeing in the United States. Social Indicators Research, 178:1, 255-278. doi: 10.1007/s11205-025-03581-2
• Duah, K., Sun, Y., Bean, B., (2025). Integrating multi-source geospatial information using Bayesian maximum entropy: A case study on design ground snow load prediction. Spatial Statistics, 67, 100894. doi: 10.1016/j.spasta.2025.100894
• Sun, Y., Rios, Z., Bean, B., (2024). Multi-sample means comparisons for imprecise interval data. International Journal of Approximate Reasoning, 176, 109322. doi: 10.1016/j.ijar.2024.109322
• Watts, E., Bean, B., (2024). Quantifying the impact of rain-on-snow induced flooding in the Western United States. , 16:19, 2826.
• Marsh, M.A, Bean, B., Maleky, F., Martini, S., (2024). Unveiling the physical properties predictive of oil binding capacity in an interesterified palm‐based fat. Journal of the American Oil Chemists' Society, 101:8, 767-782. doi: 10.1002/aocs.12830
• Pomeyie, K., Bean, B., (2024). Bootstrap methods for bias correcting probability distribution parameters characterizing extreme snow accumulations. Glacies, 1:1, 35-56. doi: 10.3390/glacies1010004
• Haycock, S., Bean, B., Burchfield, E., (2024). Producing fast and convenient machine learning benchmarks in R with the stressor package. Journal of Data Science, 22:2, 239-258.
• Bean, B., (2024). Creating an asset management plan for traffic signal structures through interactive explorations of wind induced fatigue damage. Structure and Infrastructure Engineering, 20:1, 69-82. doi: 10.1080/15732479.2022.2077768
• Bean, B., (2023). Teaching reproducibility to first year college students: Reflections from an introductory data science course. Journal on Empowering Teaching Excellence, 7:2
• Bean, B., (2023). Comparing Extreme Value Estimation Techniques for Short-Term Snow Accumulations. Journal of Data Science, 368-390. doi: 10.6339/23-jds1086
• Wagstaff, J., Bean, B., Wheeler, J., Maguire, M., Al-Rubaye, S., Sun, Y., (2023). Adaptive mapping of design ground snow loads in the conterminous United States. Journal of Structural Engineering, 150:1, doi: 10.1061/jsendh.steng-12396
• Lundell, J.F, Bean, B., Symanzik, J., (2023). Let’s talk about the weather: a cluster-based approach to weather forecast accuracy. Computational Statistics, 38:3, 1135-1155. doi: 10.1007/s00180-023-01339-3
• Taylor, R., Bean, B., Maguire, M., Al-Rubaye, S., Al-Bayati, M., (2023). Simplified models for composite elastic behavior of precast insulated wall panels. PCI Journal, 68:4
• Carrell, J.D, Phinney, A.I, Mueller, K., Bean, B., (2023). Multiscale ecological niche modeling exhibits varying climate change impacts on habitat suitability of Madrean Pine-Oak trees. Frontiers in Ecology and Evolution, 11, doi: 10.3389/fevo.2023.1086062
• Wagstaff, J., Bean, B., (2023). remap: Regionalized models with spatially smooth predictions. The R Journal, 14:4, 160-178. doi: 10.32614/rj-2023-004
• Phillips, B.N, Bean, B., (2022). Relations among gratitude, adaptation to disability, and flourishing among adults with disabilities: A longitudinal mediation model.. Rehabilitation Psychology, 67:4, 546-555. doi: 10.1037/rep0000448
• Al-Rubaye, S., Maguire, M., Bean, B., (2022). Design ground snow loads: Historical perspective and state of the art. Journal of Structural Engineering, 148:6, doi: 10.1061/(asce)st.1943-541x.0003339
• Spangler, K., Schumacher, B., Bean, B., Burchfield, E., (2022). Path dependencies in US agriculture: Regional factors of diversification. Agriculture, Ecosystems, and Environment, 333:1, 107957. doi: 10.1016/j.agee.2022.107957
• Bean, B., Sun, Y., Maguire, M., (2022). Interval-valued Kriging models for geostatistical mapping with imprecise inputs. International Journal of Approximate Reasoning, 140, 31-51. doi: 10.1016/j.ijar.2021.10.003
• Wheeler, J., Bean, B., Maguire, M., (2021). Creating a universal depth-to-load conversion technique for the conterminous United States using random forests. Journal of Cold Regions Engineering, 36:1
• Bean, B., (2020). On Tanzania’s Precipitation Climatology, Variability, and Future Projection. Climate, 8:2, 34. doi: 10.3390/cli8020034
• Bean, B., Maguire, M., Sun, Y., (2019). Comparing design ground snow load prediction in Utah and Idaho. Journal of Cold Regions Engineering, 33:3, doi: 10.1061/(asce)cr.1943-5495.0000190
• Bean, B., Sun, Y., (2017). Predicting Utah ground snow loads with PRISM. Journal of Structural Engineering, 143:9, doi: 10.1061/(asce)st.1943-541x.0001870

Public or Trade Journal

• Maguire, M., Bean, B., Harris, J.R, Liel, A., Russell, S., (2022). Ground Snow Loads for ASCE 7-22 - What has Changed and Why?. STRUCTURE Magazine *

An asterisk (*) at the end of a publication indicates that it has not been peer-reviewed.

Publications | Technical Reports

Other Reports

• Bean, B., (2025). Site Specific Reliability-Targeted Snow Loads and Winter Wind Parameters Across the World. *
• Bean, B., Shaw, B., Jarman, S., Moon, K.R, Zhang, W., (2024). Exploring Bear Lake's future through AI. Utah State University Institute for Land, Water, and Air *
• Shaw, B., Burger, H., Bean, B., Moon, K.R, (2024). Structure identification for high-dimensional data in the vicinity of the Bear Lake. Utah State University Digital Commons *
• Shaw, B., Jarman, S., Bean, B., Moon, K.R, Zhang, W., (2024). Interactive modeling of Bear Lake elevations in a future climate. Utah State University Institute for Land, Water, and Air *
• Bean, B., Sun, Y., Kwag, J., Al-Rubaye, S., Wheeler, J., Jarman, S., Rogers, M., (2021). The 2020 National Snow Load Study. Utah State University Digital Commons *
• Bean, B., (2018). The Utah snow load study. Utah State University *

An asterisk (*) at the end of a publication indicates that it has not been peer-reviewed.

Publications | Other

Magazine/Trade Publications

Other

• Haycock, S., Bean, B., (2024). stressor: Algorithms for Testing Models under Stress: CRAN: Contributed Packages. The R Foundation
• Wagstaff, J., Bean, B., (2021). remap: Regional Spatial Modeling with Continuous Borders: CRAN: Contributed Packages. The R Foundation
• Bean, B., (2019). Interval-Valued Kriging Models with Applications in Design Ground Snow Load Prediction. *
• Bean, B., (2019). intkrige: A Numerical Implementation of Interval-Valued Kriging: CRAN: Contributed Packages. The R Foundation

An asterisk (*) at the end of a publication indicates that it has not been peer-reviewed.