Leo Speidel
Leo Speidel
University of Oxford, Department of Statistics
Verified email at stats.ox.ac.uk - Homepage
Title
Cited by
Cited by
Year
A method for genome-wide genealogy estimation for thousands of samples
L Speidel, M Forest, S Shi, SR Myers
Nature genetics 51 (9), 1321-1329, 2019
282019
Temporal interactions facilitate endemicity in the susceptible-infected-susceptible epidemic model
L Speidel, K Klemm, VM Eguíluz, N Masuda
New Journal of Physics 18, 073013, 2016
272016
Steady state and mean recurrence time for random walks on stochastic temporal networks
L Speidel, R Lambiotte, K Aihara, N Masuda
Physical Review E 91 (1), 012806, 2015
212015
Asynchronous rumor spreading on random graphs
K Panagiotou, L Speidel
Algorithmica, 1-22, 2016
192016
Community detection in directed acyclic graphs
L Speidel, T Takaguchi, N Masuda
The European Physical Journal B 88 (8), 203, 2015
182015
Topological data analysis of continuum percolation with disks
L Speidel, HA Harrington, SJ Chapman, MA Porter
Physical Review E 98 (1), 012318, 2018
102018
Epidemic Threshold in Temporally-Switching Networks
L Speidel, K Klemm, VM Eguíluz, N Masuda
Temporal Network Epidemiology, 161-177, 2017
22017
Supplementary Information: A method for genome-wide genealogy estimation for thousands of samples
L Speidel, M Forest, S Shi, SR Myers
2019
Genealogy estimation for thousands of samples
L Speidel
University of Oxford, 2019
2019
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