| Model-Based Prediction for Small Domains Using Covariates: A Comparison of Four Methods V Michal, J Wakefield, AM Schmidt, A Cavanaugh, BE Robinson, ... Journal of Survey Statistics and Methodology, smae032, 2024 | | 2024 |
| A Bayesian non‐stationary heteroskedastic time series model for multivariate critical care data Z Omar, DA Stephens, AM Schmidt, DL Buckeridge Statistics in Medicine 43 (20), 3958-3974, 2024 | | 2024 |
| A Joint Temporal Model for Hospitalizations and ICU Admissions Due to COVID‐19 in Quebec M Carmona‐Baez, AM Schmidt, S Golchi, D Buckeridge Stat 13 (3), e70000, 2024 | | 2024 |
| Mapping socio-economic status using mixed data: a hierarchical Bayesian approach G Virgili-Gervais, AM Schmidt, H Bixby, A Cavanaugh, G Owusu, ... Journal of the Royal Statistical Society Series A: Statistics in Society …, 2024 | | 2024 |
| A Comparison of Bayesian Approximation Methods for Analyzing Large Spatial Skewed Data PK Roy, AM Schmidt Journal of Agricultural, Biological and Environmental Statistics, 1-17, 2024 | | 2024 |
| Airborne Nanoparticle Concentrations Are Associated with Increased Mortality Risk in Canada’s Two Largest Cities M Lloyd, T Olaniyan, A Ganji, J Xu, A Venuta, L Simon, M Zhang, ... American Journal of Respiratory and Critical Care Medicine, 2024 | 1 | 2024 |
| On the PM2. 5--Mortality Relationship: A Bayesian Dynamic Model for Spatio-Temporal Confounding C Zaccardi, P Valentini, L Ippoliti, AM Schmidt arXiv preprint arXiv:2405.16106, 2024 | | 2024 |
| Zika emergence, persistence, and transmission rate in Colombia: a nationwide application of a space-time Markov switching model L Picinini Freitas, D Douwes-Schultz, AM Schmidt, B Ávila Monsalve, ... Scientific Reports 14 (1), 10003, 2024 | | 2024 |
| A spatio-temporal model to detect potential outliers in disease mapping V Michal, AM Schmidt arXiv preprint arXiv:2404.09882, 2024 | | 2024 |
| Regularized Principal Spline Functions to Mitigate Spatial Confounding C Zaccardi, P Valentini, L Ippoliti, AM Schmidt arXiv preprint arXiv:2403.05373, 2024 | | 2024 |
| Computational Considerations for the Linear Model of Coregionalization R Alie, DA Stephens, AM Schmidt arXiv preprint arXiv:2402.08877, 2024 | | 2024 |
| Modelling left-censored skewed spatial processes: The case of arsenic drinking water contamination Q Zhang, AM Schmidt, YP Chaubey Spatial Statistics, 100816, 2024 | 1 | 2024 |
| Conditional forecasting of bus travel time and passenger occupancy with Bayesian Markov regime-switching vector autoregression X Chen, Z Cheng, AM Schmidt, L Sun arXiv preprint arXiv:2401.17387, 2024 | | 2024 |
| Spatio–Temporal Methods in Environmental Epidemiology with R G Shaddick, JV Zidek, AM Schmidt CRC Press, 2023 | 46 | 2023 |
| Strangers in a strange land: Mapping household and neighbourhood associations with improved wellbeing outcomes in Accra, Ghana AC Cavanaugh, JC Baumgartner, H Bixby, AM Schmidt, S Agyei-Mensah, ... Cities 143, 104584, 2023 | 1 | 2023 |
| Modeling temporally misaligned data across space: The case of total pollen concentration in Toronto S Zapata‐Marin, AM Schmidt, S Weichenthal, E Lavigne Environmetrics 34 (8), e2820, 2023 | 2 | 2023 |
| Bayesian modeling of dynamic behavioral change during an epidemic C Ward, R Deardon, AM Schmidt Infectious Disease Modelling 8 (4), 947-963, 2023 | 8 | 2023 |
| A Comparison between Markov Switching Zero-inflated and Hurdle Models for Spatio-temporal Infectious Disease Counts M Xu, D Douwes-Schultz, AM Schmidt arXiv preprint arXiv:2309.04594, 2023 | | 2023 |
| Small Area Estimation with Random Forests and the LASSO V Michal, J Wakefield, AM Schmidt, A Cavanaugh, B Robinson, ... arXiv preprint arXiv:2308.15180, 2023 | | 2023 |
| The impact of directly observed therapy on the efficacy of Tuberculosis treatment: a Bayesian multilevel approach WS Nobre, AM Schmidt, EEM Moodie, DA Stephens Journal of the Royal Statistical Society Series C: Applied Statistics 72 (4 …, 2023 | 1 | 2023 |
Marco A. RodríguezUniversité du Québec à Trois-Rivières在 uqtr.ca 的电子邮件经过验证
