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Kris V Parag

Showing results (1-10 of 49) with videos related to

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Journal of Theoretical Biology|July 13, 2019
On signalling and estimation limits for molecular birth-processesKris V Parag
Journal of the Royal Society, Interface|August 18, 2021
Sub-spreading events limit the reliable elimination of heterogeneous epidemicsKris V Parag
Plos Computational Biology|September 7, 2021
Improved estimation of time-varying reproduction numbers at low case incidence and between epidemic wavesKris V Parag
Plos Computational Biology|July 20, 2023
Risk averse reproduction numbers improve resurgence detectionKris V Parag, Uri Obolski
Plos Computational Biology|September 3, 2025
Optimal algorithms for controlling infectious diseases in real time using noisy infection dataSandor Beregi, Kris V Parag
American Journal of Epidemiology|August 4, 2025
Robust uncertainty quantification in popular estimators of the instantaneous reproduction numberNicholas Steyn, Kris V Parag
Plos Computational Biology|October 28, 2017
Point process analysis of noise in early invertebrate visionKris V Parag, Glenn Vinnicombe
Plos Computational Biology|April 11, 2022
Fundamental limits on inferring epidemic resurgence in real time using effective reproduction numbersKris V Parag, Christl A Donnelly
Journal of the Royal Society, Interface|July 24, 2024
Host behaviour driven by awareness of infection risk amplifies the chance of superspreading eventsKris V Parag, Robin N Thompson
Journal of Theoretical Biology|April 8, 2017
Optimal point process filtering and estimation of the coalescent processKris V Parag, Oliver G Pybus
Pageof 5

Showing results (1-10 of 49) with videos related to

Sort By:
Pageof 5
Journal of Theoretical Biology|July 13, 2019
On signalling and estimation limits for molecular birth-processesKris V Parag
Journal of the Royal Society, Interface|August 18, 2021
Sub-spreading events limit the reliable elimination of heterogeneous epidemicsKris V Parag
Plos Computational Biology|September 7, 2021
Improved estimation of time-varying reproduction numbers at low case incidence and between epidemic wavesKris V Parag
Plos Computational Biology|July 20, 2023
Risk averse reproduction numbers improve resurgence detectionKris V Parag, Uri Obolski
Plos Computational Biology|September 3, 2025
Optimal algorithms for controlling infectious diseases in real time using noisy infection dataSandor Beregi, Kris V Parag
American Journal of Epidemiology|August 4, 2025
Robust uncertainty quantification in popular estimators of the instantaneous reproduction numberNicholas Steyn, Kris V Parag
Plos Computational Biology|October 28, 2017
Point process analysis of noise in early invertebrate visionKris V Parag, Glenn Vinnicombe
Plos Computational Biology|April 11, 2022
Fundamental limits on inferring epidemic resurgence in real time using effective reproduction numbersKris V Parag, Christl A Donnelly
Journal of the Royal Society, Interface|July 24, 2024
Host behaviour driven by awareness of infection risk amplifies the chance of superspreading eventsKris V Parag, Robin N Thompson
Journal of Theoretical Biology|April 8, 2017
Optimal point process filtering and estimation of the coalescent processKris V Parag, Oliver G Pybus
Pageof 5