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Alexandra M Schmidt

Showing results (1-10 of 36) with videos related to

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Biometrics|March 30, 2022
Discussion on "Spatial+: a novel approach to spatial confounding" by Emiko Dupont, Simon N. Wood, and Nicole H. AugustinAlexandra M Schmidt
Infectious Disease Modelling|August 23, 2023
Bayesian modeling of dynamic behavioral change during an epidemicCaitlin Ward, Rob Deardon, Alexandra M Schmidt
Spatial and Spatio-Temporal Epidemiology|August 7, 2022
A joint hierarchical model for the number of cases and deaths due to COVID-19 across the boroughs of MontrealVictoire Michal, Leo Vanciu, Alexandra M Schmidt
International Journal of Environmental Health Research|April 10, 2020
Socioeconomic factors and bacillary dysentery risk in Jiangsu Province, China: a spatial investigation using Bayesian hierarchical modelsSabrina Li, Alexandra M Schmidt, Susan J Elliott
Biometrics|June 26, 2025
Regularized principal spline functions to mitigate spatial confoundingCarlo Zaccardi, Pasquale Valentini, Luigi Ippoliti, et al.
Accident; Analysis and Prevention|September 17, 2022
A process convolution model for crash count data on a networkHassan Rezaee, Alexandra M Schmidt, Joshua Stipancic, et al.
Accident; Analysis and Prevention|February 6, 2026
A spatially structured empirical Bayes framework for the evaluation of network-wide safety countermeasuresMingjian Wu, Aurélie Labbe, Alexandra M Schmidt, et al.
Statistics in Medicine|July 3, 2024
A Bayesian non-stationary heteroskedastic time series model for multivariate critical care dataZayd Omar, David A Stephens, Alexandra M Schmidt, et al.
Statistical Methods in Medical Research|December 11, 2024
A Bayesian hierarchical model for disease mapping that accounts for scaling and heavy-tailed latent effectsVictoire Michal, Alexandra M Schmidt, Laís Picinini Freitas, et al.
Spatial and Spatio-Temporal Epidemiology|June 12, 2022
A joint spatial marked point process model for dengue and severe dengue in Medellin, ColombiaMabel Carabali, Alexandra M Schmidt, Berta N Restrepo, et al.
Pageof 4

Showing results (1-10 of 36) with videos related to

Sort By:
Pageof 4
Biometrics|March 30, 2022
Discussion on "Spatial+: a novel approach to spatial confounding" by Emiko Dupont, Simon N. Wood, and Nicole H. AugustinAlexandra M Schmidt
Infectious Disease Modelling|August 23, 2023
Bayesian modeling of dynamic behavioral change during an epidemicCaitlin Ward, Rob Deardon, Alexandra M Schmidt
Spatial and Spatio-Temporal Epidemiology|August 7, 2022
A joint hierarchical model for the number of cases and deaths due to COVID-19 across the boroughs of MontrealVictoire Michal, Leo Vanciu, Alexandra M Schmidt
International Journal of Environmental Health Research|April 10, 2020
Socioeconomic factors and bacillary dysentery risk in Jiangsu Province, China: a spatial investigation using Bayesian hierarchical modelsSabrina Li, Alexandra M Schmidt, Susan J Elliott
Biometrics|June 26, 2025
Regularized principal spline functions to mitigate spatial confoundingCarlo Zaccardi, Pasquale Valentini, Luigi Ippoliti, et al.
Accident; Analysis and Prevention|September 17, 2022
A process convolution model for crash count data on a networkHassan Rezaee, Alexandra M Schmidt, Joshua Stipancic, et al.
Accident; Analysis and Prevention|February 6, 2026
A spatially structured empirical Bayes framework for the evaluation of network-wide safety countermeasuresMingjian Wu, Aurélie Labbe, Alexandra M Schmidt, et al.
Statistics in Medicine|July 3, 2024
A Bayesian non-stationary heteroskedastic time series model for multivariate critical care dataZayd Omar, David A Stephens, Alexandra M Schmidt, et al.
Statistical Methods in Medical Research|December 11, 2024
A Bayesian hierarchical model for disease mapping that accounts for scaling and heavy-tailed latent effectsVictoire Michal, Alexandra M Schmidt, Laís Picinini Freitas, et al.
Spatial and Spatio-Temporal Epidemiology|June 12, 2022
A joint spatial marked point process model for dengue and severe dengue in Medellin, ColombiaMabel Carabali, Alexandra M Schmidt, Berta N Restrepo, et al.
Pageof 4