S. Cotter

发表

Bayesian inverse problems for functions and applications to fluid mechanics

James C. Robinson, A. Stuart, S. Cotter, 2009 .

Number 11 / 65 Adaptive Finite Element Method Assisted by Stochastic Simulation of Chemical Systems by

T. Vejchodský, R. Erban, S. Cotter, 2012 .

Number 11 / 14 A Constrained Approach to Multiscale Stochastic Simulation of Chemically Reacting Systems by

K. Zygalakis, R. Erban, S. Cotter, 2011 .

A constrained approach to multiscale stochastic simulation of chemically reacting systems.

Ioannis G Kevrekidis, Radek Erban, Konstantinos C Zygalakis, 2011, The Journal of chemical physics.

Bayesian data assimilation in shape registration

C. J. Cotter, Franccois-Xavier Vialard, C. Cotter, 2012, 1212.5088.

Number 11 / 60 Bayesian data assimilation in shape registration

Franccois-Xavier Vialard, C. Cotter, S. Cotter, 2011 .

Applications of MCMC methods on function spaces

S. Cotter, 2010 .

VARIATIONAL DATA ASSIMILATION USINGTARGETTED RANDOMWALKS 1 Variational Data Assimilation Using Targetted Random Walks

A. Stuart, S. Cotter, M. Dashti, 2010 .

MCMC Methods for Functions: ModifyingOld Algorithms to Make Them Faster

G. Roberts, A. Stuart, S. Cotter, 2012, 1202.0709.

A stochastic model for early placental development†

S. Cotter, A. Heazell, S. Collins, 2014, Journal of The Royal Society Interface.

Bayesian inference on a microstructural, hyperelastic model of tendon deformation

S. Cotter, W. Parnell, T. Shearer, 2022, Journal of the Royal Society Interface.

Approximation of inverse problems

A. Stuart, M. Dashti, S. Cotter, 2009 .

Comparing placentas from normal and abnormal pregnancies

S. Cotter, D. Greenhalgh, M. Kritz, 2010 .

Unlabelled landmark matching via Bayesian data selection, and application to cell matching across imaging modalities

S. Cotter, B. Płusa, Jessica E Forsyth, 2022, Statistics and Computing.

Hierarchical Bayesian data selection

S. Cotter, 2022, 2208.03215.

Batch Bayesian Optimization via Particle Gradient Flows

K. Zygalakis, S. Cotter, A. B. Duncan, 2022, 2209.04722.

Efficient forecasting and uncertainty quantification for large scale account level Monte Carlo models of debt recovery

Timothy W. Waite, S. Cotter, E. Ryan, 2022, 2201.03367.

A randomized Multi-index sequential Monte Carlo method

K. Law, S. Cotter, Shan Yang, 2022, ArXiv.

N A ] 11 S ep 2 00 9 Approximation of Bayesian Inverse Problems for PDEs September 11

A. Stuart, S. Cotter, M. Dashti, 2009 .

Product-Form Stationary Distributions for Deficiency Zero Networks with Non-mass Action Kinetics

David F. Anderson, S. Cotter, 2016, Bulletin of mathematical biology.

Batch Bayesian Optimization via Particle Gradient Flows

K. Zygalakis, S. Cotter, Enrico Crovini, 2022, ArXiv.

The NuZZ: Numerical ZigZag Sampling for General Models pdf

Thomas House, Simon Cotter, Filippo Pagani, 2020, ArXiv.

Studies of the dynamics of nuclear clustering in human syncytiotrophoblast 1 2

C. Sibley, S. Cotter, M. Longtine, 2016 .

Cell Cycle Heterogeneity Can Generate Robust Cell Type Proportioning

Wouter van Zon, S. Cotter, N. Gruenheit, 2018, Developmental cell.

Transport Map Accelerated Adaptive Importance Sampling, and Application to Inverse Problems Arising from Multiscale Stochastic Reaction Networks

I. Kevrekidis, S. Cotter, Paul Russell, 2019, SIAM/ASA J. Uncertain. Quantification.

Ensemble Transport Adaptive Importance Sampling

C. Cotter, S. Cotter, Paul Russell, 2015, SIAM/ASA J. Uncertain. Quantification.

Surrogate accelerated Bayesian inversion for the determination of the thermal diffusivity of a material

Simon Cotter, S. Cotter, C. Powell, 2018, Metrologia.

Approximation of Bayesian Inverse Problems for PDEs

Andrew M. Stuart, M. Dashti, S. L. Cotter, 2009, SIAM J. Numer. Anal..

Adaptive Finite Element Method Assisted by Stochastic Simulation of Chemical Systems

Radek Erban, Tomás Vejchodský, Simon L. Cotter, 2011, SIAM J. Sci. Comput..

IVEN: A quantitative tool to describe 3D cell position and neighbourhood reveals architectural changes in FGF4-treated preimplantation embryos

S. Cotter, B. Płusa, Diego Perez-Cortes, 2021, PLoS biology.

Error Analysis of Diffusion Approximation Methods for Multiscale Systems in Reaction Kinetics

Radek Erban, Simon L. Cotter, R. Erban, 2014, SIAM J. Sci. Comput..

Variational data assimilation using targetted random walks

A. Stuart, S. Cotter, M. Dashti, 2012 .

Parallel Adaptive Importance Sampling

Simon Cotter, Colin Cotter, Paul Russell, 2015 .

Constrained approximation of effective generators for multiscale stochastic reaction networks and application to conditioned path sampling

Simon L. Cotter, S. Cotter, 2015, J. Comput. Phys..

A randomized multi-index sequential Monte Carlo method

K. Law, S. Cotter, Shan Yang, 2022, Statistics and Computing.

Product-Form Stationary Distributions for Deficiency Zero Networks with Non-mass Action Kinetics

David F Anderson, David F. Anderson, S. Cotter, 2016, Bulletin of Mathematical Biology.