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Sally Cripps

Showing results (1-10 of 14) with videos related to

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Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|November 4, 2022
AdaptSPEC-X: Covariate-Dependent Spectral Modeling of Multiple Nonstationary Time SeriesMichael Bertolacci, Ori Rosen, Edward Cripps, et al.
International Journal of Forecasting|September 1, 2020
Forecasting for COVID-19 has failedJohn P A Ioannidis, Sally Cripps, Martin A Tanner
IEEE Transactions on Neural Networks and Learning Systems|November 16, 2023
Plug-and-Play Model-Agnostic Counterfactual Policy Synthesis for Deep Reinforcement Learning-Based RecommendationSiyu Wang, Xiaocong Chen, Julian McAuley, et al.
Journal of Clinical Epidemiology|March 30, 2021
Effect estimates of COVID-19 non-pharmaceutical interventions are non-robust and highly model-dependentVincent Chin, John P A Ioannidis, Martin A Tanner, et al.
BMC Medicine|March 22, 2023
Bayesian network modelling to identify on-ramps to childhood obesityWanchuang Zhu, Roman Marchant, Richard W Morris, et al.
SSM - Population Health|January 8, 2020
The differential impact of major life events on cognitive and affective wellbeingNathan Kettlewell, Richard W Morris, Nick Ho, et al.
European Journal of Epidemiology|August 12, 2020
A case study in model failure? COVID-19 daily deaths and ICU bed utilisation predictions in New York stateVincent Chin, Noelle I Samia, Roman Marchant, et al.
Scientific Reports|January 19, 2026
Uncertainty and inconsistency of COVID-19 non-pharmaceutical intervention effects with multiple competitive statistical modelsBernhard Müller, Inken Padberg, Michael Lorke, et al.
Npj Mental Health Research|June 7, 2024
Dynamic learning of individual-level suicidal ideation trajectories to enhance mental health careMathew Varidel, Ian B Hickie, Ante Prodan, et al.
Journal of Medical Internet Research|June 19, 2025
Causal AI Recommendation System for Digital Mental Health: Bayesian Decision-Theoretic AnalysisMathew Varidel, Victor An, Ian B Hickie, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|November 4, 2022
AdaptSPEC-X: Covariate-Dependent Spectral Modeling of Multiple Nonstationary Time SeriesMichael Bertolacci, Ori Rosen, Edward Cripps, et al.
International Journal of Forecasting|September 1, 2020
Forecasting for COVID-19 has failedJohn P A Ioannidis, Sally Cripps, Martin A Tanner
IEEE Transactions on Neural Networks and Learning Systems|November 16, 2023
Plug-and-Play Model-Agnostic Counterfactual Policy Synthesis for Deep Reinforcement Learning-Based RecommendationSiyu Wang, Xiaocong Chen, Julian McAuley, et al.
Journal of Clinical Epidemiology|March 30, 2021
Effect estimates of COVID-19 non-pharmaceutical interventions are non-robust and highly model-dependentVincent Chin, John P A Ioannidis, Martin A Tanner, et al.
BMC Medicine|March 22, 2023
Bayesian network modelling to identify on-ramps to childhood obesityWanchuang Zhu, Roman Marchant, Richard W Morris, et al.
SSM - Population Health|January 8, 2020
The differential impact of major life events on cognitive and affective wellbeingNathan Kettlewell, Richard W Morris, Nick Ho, et al.
European Journal of Epidemiology|August 12, 2020
A case study in model failure? COVID-19 daily deaths and ICU bed utilisation predictions in New York stateVincent Chin, Noelle I Samia, Roman Marchant, et al.
Scientific Reports|January 19, 2026
Uncertainty and inconsistency of COVID-19 non-pharmaceutical intervention effects with multiple competitive statistical modelsBernhard Müller, Inken Padberg, Michael Lorke, et al.
Npj Mental Health Research|June 7, 2024
Dynamic learning of individual-level suicidal ideation trajectories to enhance mental health careMathew Varidel, Ian B Hickie, Ante Prodan, et al.
Journal of Medical Internet Research|June 19, 2025
Causal AI Recommendation System for Digital Mental Health: Bayesian Decision-Theoretic AnalysisMathew Varidel, Victor An, Ian B Hickie, et al.
Pageof 2