David Welch
David Welch
Senior Lecturer, Computational Evolution Group, Dept of Computer Science, University of Auckland
Verified email at - Homepage
Cited by
Cited by
Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems
T Toni, D Welch, N Strelkowa, A Ipsen, MPH Stumpf
Journal of the Royal Society Interface 6 (31), 187-202, 2009
Bayesian inference of sampled ancestor trees for epidemiology and fossil calibration
A Gavryushkina, D Welch, T Stadler, AJ Drummond
PLoS computational biology 10 (12), e1003919, 2014
Bayesian total-evidence dating reveals the recent crown radiation of penguins
A Gavryushkina, TA Heath, DT Ksepka, T Stadler, D Welch, AJ Drummond
Systematic biology 66 (1), 57-73, 2017
From words to dates: water into wine, mathemagic or phylogenetic inference?
Q Atkinson, G Nicholls, D Welch, R Gray
Transactions of the Philological Society 103 (2), 193-219, 2005
Efficient Bayesian inference under the structured coalescent
TG Vaughan, D Kühnert, A Popinga, D Welch, AJ Drummond
Bioinformatics 30 (16), 2272-2279, 2014
Genomic epidemiology reveals transmission patterns and dynamics of SARS-CoV-2 in Aotearoa New Zealand
JL Geoghegan, X Ren, M Storey, J Hadfield, L Jelley, S Jefferies, ...
Nature communications 11 (1), 1-7, 2020
Bayesian inference for contact networks given epidemic data
C Groendyke, D Welch, DR Hunter
Scandinavian Journal of Statistics 38 (3), 600-616, 2011
Statistical inference to advance network models in epidemiology
D Welch, S Bansal, DR Hunter
Epidemics 3 (1), 38-45, 2011
A network‐based analysis of the 1861 Hagelloch measles data
C Groendyke, D Welch, DR Hunter
Biometrics 68 (3), 755-765, 2012
Protocols for sampling viral sequences to study epidemic dynamics
JC Stack, JD Welch, MJ Ferrari, BU Shapiro, BT Grenfell
Journal of the Royal Society Interface 7 (48), 1119-1127, 2010
Genomic Evidence of In-Flight Transmission of SARS-CoV-2 Despite Predeparture Testing
T Swadi, JL Geoghegan, T Devine, C McElnay, J Sherwood, P Shoemack, ...
Emerging Infectious Diseases 27 (3), 2021
Estimating Epidemic Incidence and Prevalence from Genomic Data
TG Vaughan, GE Leventhal, DA Rasmussen, AJ Drummond, D Welch, ...
Molecular Biology and Evolution, 2019
Estimating epidemic incidence and prevalence from genomic data
TG Vaughan, GE Leventhal, DA Rasmussen, AJ Drummond, D Welch, ...
bioRxiv, 142570, 2017
Inferring ancestral recombination graphs from bacterial genomic data
TG Vaughan, D Welch, AJ Drummond, PJ Biggs, T George, NP French
Genetics 205 (2), 857-870, 2017
Integrating genealogy and epidemiology: the ancestral infection and selection graph as a model for reconstructing host virus histories
D Welch, GK Nicholls, A Rodrigo, W Solomon
Theoretical population biology 68 (1), 65-75, 2005
Demographic inference under the coalescent in a spatial continuum
S Guindon, H Guo, D Welch
Theoretical population biology 111, 43-50, 2016
Is network clustering detectable in transmission trees?
D Welch
Viruses 3 (6), 659-676, 2011
Phylodynamics reveals the role of human travel and contact tracing in controlling the first wave of COVID-19 in four island nations
J Douglas, FK Mendes, R Bouckaert, D Xie, CL Jiménez-Silva, ...
Virus evolution 7 (2), veab052, 2021
Recursive algorithms for phylogenetic tree counting
A Gavryushkina, D Welch, AJ Drummond
Algorithms for Molecular Biology 8 (1), 1-13, 2013
epinet: An R Package to Analyze Epidemics Spread across Contact Networks
C Groendyke, D Welch
Journal of Statistical Software 83 (11), 1-22, 2018
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