Peer-Reviewed Journal Publications

 
S. L. Cotter, T. House and F. Pagani, The NuZZ: Numerical ZigZag Sampling for General Models, submitted 2020.
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.
C. J. Cotter, S. L. Cotter and P. Russell, Ensemble Transport Adaptive Importance Sampling, SIAM/ASA J. Uncertainty Quantification, 7(2), 444–471, 2019.
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.
N. Gruenheit et al, Cell cycle heterogeneity can generate robust cell type proportioning, Developmental Cell, Volume 47, Issue 4, 2018, 494-508
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.
S. Calvert et al. Studies of the dynamics of nuclear clustering in human syncytiotrophoblast. Reproduction 151.6 (2016): 657-671.
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.
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.
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.
C. J. Cotter, S. L. Cotter and F.-X. Vialard, Bayesian Data Assimilation in Shape Registration, Inverse Problems 29.4 (2013): 045011.
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.
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)
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
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
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
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.