Simon Cotter
Simon Cotter
School of Mathematics, University of Manchester
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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
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
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
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
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
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
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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