Simon Cotter
Simon Cotter
School of Mathematics, University of Manchester
Verified email at
Cited by
Cited by
MCMC methods for functions: modifying old algorithms to make them faster
SL Cotter, GO Roberts, AM Stuart, D White
Statistical Science, 424-446, 2013
Bayesian inverse problems for functions and applications to fluid mechanics
SL Cotter, M Dashti, JC Robinson, AM Stuart
Inverse problems 25 (11), 115008, 2009
Approximation of Bayesian inverse problems for PDEs
SL Cotter, M Dashti, AM Stuart
SIAM Journal on Numerical Analysis 48 (1), 322-345, 2010
A constrained approach to multiscale stochastic simulation of chemically reacting systems
SL Cotter, KC Zygalakis, IG Kevrekidis, R Erban
The Journal of chemical physics 135 (9), 09B601, 2011
Variational data assimilation using targetted random walks
SL Cotter, M Dashti, AM Stuart
International Journal for Numerical Methods in Fluids 68 (4), 403-421, 2012
A stochastic model for early placental development
SL Cotter, V Klika, L Kimpton, S Collins, AEP Heazell
Journal of The Royal Society Interface 11 (97), 20140149, 2014
Product-form stationary distributions for deficiency zero networks with non-mass action kinetics
DF Anderson, SL Cotter
Bulletin of mathematical biology 78 (12), 2390-2407, 2016
Error analysis of diffusion approximation methods for multiscale systems in reaction kinetics
SL Cotter, R Erban
SIAM Journal on Scientific Computing 38 (1), B144-B163, 2016
Ensemble Transport Adaptive Importance Sampling
C Cotter, S Cotter, P Russell
SIAM/ASA Journal on Uncertainty Quantification, 2019
Studies of the dynamics of nuclear clustering in human syncytiotrophoblast
SJ Calvert, MS Longtine, S Cotter, CJP Jones, CP Sibley, JD Aplin, ...
Reproduction (Cambridge, England) 151 (6), 657, 2016
Adaptive finite element method assisted by stochastic simulation of chemical systems
SL Cotter, T Vejchodsky, R Erban
SIAM Journal on Scientific Computing 35 (1), B107-B131, 2013
Constrained approximation of effective generators for multiscale stochastic reaction networks and application to conditioned path sampling
SL Cotter
Journal of Computational Physics 323, 265-282, 2016
Bayesian data assimilation in shape registration
CJ Cotter, SL Cotter, FX Vialard
Inverse Problems 29 (4), 045011, 2013
Cell cycle heterogeneity can generate robust cell type proportioning
N Gruenheit, K Parkinson, CA Brimson, S Kuwana, EJ Johnson, ...
Developmental cell 47 (4), 494-508. e4, 2018
Comparing placentas from normal and abnormal pregnancies
A Heazell, SL Cotter, L Gallimore, D Greenhalgh, S Kennedy, V Klika, ...
Mathematics in Medicine, 2010
Applications of MCMC methods on function spaces
SL Cotter
University of Warwick, 2010
Surrogate accelerated Bayesian inversion for the determination of the thermal diffusivity of a material
JAJ Rynn, SL Cotter, CE Powell, L Wright
Metrologia 56 (1), 015018, 2019
The NuZZ: Numerical ZigZag Sampling for General Models
S Cotter, T House, F Pagani
arXiv preprint arXiv:2003.03636, 2020
Transport map accelerated adaptive importance sampling, and application to inverse problems arising from multiscale stochastic reaction networks
SL Cotter, IG Kevrekidis, P Russell
arXiv preprint arXiv:1901.11269, 2019
Transport map-accelerated adaptive importance sampling
S Cotter
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