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J. Forsyth et al,IVEN: A quantitative
tool to describe 3D cell position and neighbourhood reveals
architectural changes in FGF4-treated preimplantation
embryos, PLoS biology 19 (7), e3001345 2021.
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S. L. Cotter, T. House and F. Pagani, The NuZZ: Numerical
ZigZag Sampling for General Models, submitted 2020.
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S. L. Cotter, I. G. Kevrekidis and P. Russell, Transport Map
Accelerated Importance Sampling, and Application to Inverse
Problems Arising From Multiscale Stochastic Reaction Networks, SIAM/ASA J. Uncertainty
Quantification, accepted 2020.
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C. J. Cotter, S. L. Cotter and P. Russell, Ensemble Transport
Adaptive Importance Sampling, SIAM/ASA J. Uncertainty
Quantification, 7(2), 444–471, 2019.
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J. Rynn, S L. Cotter, C. Powell and L. Wright,
Surrogate
accelerated Bayesian inversion for the determination of the
thermal diffusivity of a material, Metrologia 56 (1),
015018, 2019.
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N. Gruenheit et al,
Cell cycle heterogeneity can generate robust cell type proportioning,
Developmental Cell,
Volume 47, Issue 4,
2018, 494-508
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D. F. Anderson and S. L. Cotter. Product-form stationary
distributions for deficiency zero networks with non-mass
action kinetics, Bulletin of Mathematical Biology (2016) 78: 2390. Minor
S. L. Cotter, Constrained
approximation of effective generators for multiscale
stochastic reaction networks and application to conditioned
path sampling, Journal of Computational Physics 323 (2016) 265-282.
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S. Calvert et al. Studies of the dynamics of nuclear clustering in human syncytiotrophoblast. Reproduction 151.6 (2016): 657-671. |
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S. L. Cotter and R. Erban,Error Analysis of Diffusion Approximation Methods for Multiscale Systems in Reaction Kinetics, SIAM Journal on Scientific Computing 38.1 (2016): B144-B163. |
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S. L. Cotter, Vaclav Klika, L. S. Kimpton, S. L. Collins and
A. E. P. Heazell,A Stochastic
Model for Early Placental Development, Journal of The Royal Society Interface 11.97 (2014): 20140149.
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S. L. Cotter, G. O. Roberts, A. M. Stuart, and D. White,
MCMC Methods for Functions: Modifying Old Algorithms to
Make Them Faster, Statistical Science Volume 28, Number 3 (2013), 424-446.
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C. J. Cotter, S. L. Cotter and F.-X. Vialard, Bayesian Data Assimilation in Shape Registration, Inverse Problems 29.4 (2013): 045011.
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S. L. Cotter, T. Vejchodsky and R.
Erban, Adaptive Finite Element Method Assisted by
Stochastic Simulation of Chemical Systems, SIAM Journal on Scientific Computing 35.1 (2013): B107-B131.
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S. L. Cotter, K. C. Zygalakis, I. G. Kevrekidis, and R. Erban,
A Constrained Approach to Multiscale Stochastic Simulation
of Chemically Reacting Systems, Journal of Chemical Physics
135, 094102 (2011)
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S. L. Cotter, M. Dashti, and A. M. Stuart,
Variational Data Assimilation Using
Targetted Random Walks, International Journal for Numerical Methods
in Fluids 68(4), 403--421, (2012) (Published online 2011). Preprint version
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S. L. Cotter, M. Dashti, and A. M. Stuart, Approximation of Bayesian Inverse
Problems for PDEs, SIAM
Journal of Numerical Analysis 48, 322-345 (2010). Preprint version
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S. L. Cotter, M. Dashti, J. C. Robinson and A. M. Stuart, Bayesian Inverse Problems
for Functions and Applications to Fluid Mechanics, Inverse
Problems 25 115008 (2009). Preprint version
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L. Humphrey, A. Wallace and S. L. Cotter, Performance of Various ADSL CPE in
Presence of 100 Hz Repetitive Impulse Noise, ITU-T SG15/Q4 LC-031, Lake Tahoe
August 2004.
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