| Efficient estimation of generalized linear latent variable models J Niku, W Brooks, R Herliansyah, FKC Hui, S Taskinen, DI Warton PloS one 14 (5), e0216129, 2019 | 62 | 2019 |
| Predicting recreational water quality advisories: a comparison of statistical methods W Brooks, S Corsi, M Fienen, R Carvin Environmental modelling & software 76, 81-94, 2016 | 52 | 2016 |
| Characterizing response of total suspended solids and total phosphorus loading to weather and watershed characteristics for rainfall and snowmelt events in agricultural watersheds ME Danz, SR Corsi, WR Brooks, RT Bannerman Journal of Hydrology 507, 249-261, 2013 | 34 | 2013 |
| Partial least squares for efficient models of fecal indicator bacteria on Great Lakes beaches WR Brooks, MN Fienen, SR Corsi Journal of Environmental Management 114, 470-475, 2013 | 26 | 2013 |
| Virtual Beach 3: User’s Guide M Cyterski, W Brooks, M Galvin, K Wolfe, R Carvin, T Roddick, M Fienen, ... United States Environmental Protection Agency, 2013 | 11 | 2013 |
| gllvm: generalized linear latent variable models. R package version 1.1. 7; 2019 J Niku, W Brooks, R Herliansyah, FKC Hui, S Taskinen, DI Warton | 8 | 2023 |
| Virtual Beach 3.0. 6: user’s guide M Cyterski, W Brooks, M Galvin, K Wolfe, R Carvin, T Roddick, M Fienen, ... Athens, Georgia: Center for Exposure Assessment Models, US Environmental …, 2014 | 7 | 2014 |
| Package ‘gllvm.’ J Niku, W Brooks, R Herliansyah, FKC Hui, S Taskinen, DI Warton, ... R Project 326, 2017 | 5 | 2017 |
| Species densities, assembly order, and competence jointly determine the diversity–disease relationship LM Rosenthal, WR Brooks, DM Rizzo Ecology 103 (5), e3622, 2022 | 2 | 2022 |
| Bayesian surprise as a tool for monitoring sensor networks W Brooks NWQMC 8th national monitoring conference, 2012 | 2 | 2012 |
| Fast, Approximate Maximum Likelihood Estimation of Log-Gaussian Cox Processes E Dovers, W Brooks, GC Popovic, DI Warton Journal of Computational and Graphical Statistics, 1-11, 2023 | 1 | 2023 |
| Local variable selection in varying-coefficients regression models WR Brooks The University of Wisconsin-Madison, 2015 | | 2015 |
| Local Adaptive Grouped Regularization and its Oracle Properties for Varying Coefficient Regression W Brooks, J Zhu, Z Lu arXiv preprint arXiv:1411.5725, 2014 | | 2014 |
