Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Kris V Parag

Showing results (11-20 of 50) with videos related to

Pageof 5
Sort By:
Systematic Biology|February 7, 2019
Robust Design for Coalescent Model InferenceKris V Parag, Oliver G Pybus
Systematic Biology|April 26, 2020
Adaptive Estimation for Epidemic Renewal and Phylogenetic Skyline ModelsKris V Parag, Christl A Donnelly
Bioinformatics (Oxford, England)|May 3, 2018
Exact Bayesian inference for phylogenetic birth-death modelsKris V Parag, Oliver G Pybus
Plos Computational Biology|July 2, 2020
Using information theory to optimise epidemic models for real-time prediction and estimationKris V Parag, Christl A Donnelly
Nature Computational Science|January 4, 2024
Quantifying the information in noisy epidemic curvesKris V Parag, Christl A Donnelly, Alexander E Zarebski
Proceedings. Biological Sciences|September 27, 2023
Angular reproduction numbers improve estimates of transmissibility when disease generation times are misspecified or time-varyingKris V Parag, Benjamin J Cowling, Ben C Lambert
Communications Physics|May 28, 2026
The <i>R</i> = 1 threshold can misclassify epidemic stabilityKris V Parag, Mauricio Santillana, Anne Cori, et al.
Journal of the Royal Society, Interface|December 15, 2021
Deciphering early-warning signals of SARS-CoV-2 elimination and resurgence from limited data at multiple scalesKris V Parag, Benjamin J Cowling, Christl A Donnelly
Journal of the Royal Statistical Society. Series A, (Statistics in Society)|August 9, 2022
Are epidemic growth rates more informative than reproduction numbers?Kris V Parag, Robin N Thompson, Christl A Donnelly
Systematic Biology|May 14, 2021
Are Skyline Plot-Based Demographic Estimates Overly Dependent on Smoothing Prior Assumptions?Kris V Parag, Oliver G Pybus, Chieh-Hsi Wu
Pageof 5

Showing results (11-20 of 50) with videos related to

Sort By:
Pageof 5
Systematic Biology|February 7, 2019
Robust Design for Coalescent Model InferenceKris V Parag, Oliver G Pybus
Systematic Biology|April 26, 2020
Adaptive Estimation for Epidemic Renewal and Phylogenetic Skyline ModelsKris V Parag, Christl A Donnelly
Bioinformatics (Oxford, England)|May 3, 2018
Exact Bayesian inference for phylogenetic birth-death modelsKris V Parag, Oliver G Pybus
Plos Computational Biology|July 2, 2020
Using information theory to optimise epidemic models for real-time prediction and estimationKris V Parag, Christl A Donnelly
Nature Computational Science|January 4, 2024
Quantifying the information in noisy epidemic curvesKris V Parag, Christl A Donnelly, Alexander E Zarebski
Proceedings. Biological Sciences|September 27, 2023
Angular reproduction numbers improve estimates of transmissibility when disease generation times are misspecified or time-varyingKris V Parag, Benjamin J Cowling, Ben C Lambert
Communications Physics|May 28, 2026
The <i>R</i> = 1 threshold can misclassify epidemic stabilityKris V Parag, Mauricio Santillana, Anne Cori, et al.
Journal of the Royal Society, Interface|December 15, 2021
Deciphering early-warning signals of SARS-CoV-2 elimination and resurgence from limited data at multiple scalesKris V Parag, Benjamin J Cowling, Christl A Donnelly
Journal of the Royal Statistical Society. Series A, (Statistics in Society)|August 9, 2022
Are epidemic growth rates more informative than reproduction numbers?Kris V Parag, Robin N Thompson, Christl A Donnelly
Systematic Biology|May 14, 2021
Are Skyline Plot-Based Demographic Estimates Overly Dependent on Smoothing Prior Assumptions?Kris V Parag, Oliver G Pybus, Chieh-Hsi Wu
Pageof 5