Using experimental data and information criteria to guide model selection for reaction–diffusion problems in mathematical biology
Warne, D
Baker, R
Simpson, M
Accurate and efficient discretisations for stochastic models providing near agent-based spatial resolution at low computational cost
Fadai, N
Baker, R
Simpson, M
Continuum descriptions of spatial spreading for heterogeneous cell populations: theory and experiment
Matsiaka, O
Baker, R
Simpson, M
Multilevel rejection sampling for approximate Bayesian computation
Warne, D
Baker, R
Simpson, M
(10 Feb 2017)
Optimal quantification of contact inhibition in cell populations
Warne, D
Baker, R
Simpson, M
(15 Sep 2017)
Simulation and inference algorithms for stochastic biochemical reaction networks: from basic concepts to state-of-the-art
Warne, D
Baker, R
Simpson, M
(13 Dec 2018)
Invasion and Inhibition in Cell Embryonic Migration
Kulesa, P
McLennan, R
McKinney, M
Teddy, J
Morrison, J
Kasemeier‐Kulesa, J
Giniunaite, R
Robinson, M
Baker, R
Maini, P
The FASEB Journal
volume 33
issue S1
14.1-14.1
(Apr 2019)
Rapid Bayesian inference for expensive stochastic models
Warne, D
Baker, R
Simpson, M
(14 Sep 2019)
A practical guide to pseudo-marginal methods for computational inference in systems biology
Warne, D
Baker, R
Simpson, M
(28 Dec 2019)
Parameter identifiability and model selection for sigmoid population growth models
Simpson, M
Browning, A
Warne, D
Maclaren, O
Baker, R