Pages that link to "Item:Q2221735"
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The following pages link to Characterization of partially observed epidemics through Bayesian inference: application to COVID-19 (Q2221735):
Displaying 5 items.
- Bayesian dynamic network actor models with application to South Korean COVID-19 patient movement data (Q2066727) (← links)
- A Bayesian nonparametric method for detecting rapid changes in disease transmission (Q2109324) (← links)
- Modeling COVID-19 pandemic using Bayesian analysis with application to Slovene data (Q2207162) (← links)
- Bayesian-based predictions of COVID-19 evolution in Texas using multispecies mixture-theoretic continuum models (Q2221727) (← links)
- Bayesian inference of heterogeneous epidemic models: application to COVID-19 spread accounting for long-term care facilities (Q2237746) (← links)