11 citations · 41 across the 15 of their papers we have counts for
6 papers · 1 filter
A randomized multi-index sequential Monte Carlo method
Xinzhu Liang, Shangda Yang, Simon L. Cotter +1
We consider the problem of estimating expectations with respect to a target distribution with an unknown normalizing constant, and where even the unnormalized target needs to be ap…
Batch Bayesian Optimization via Particle Gradient Flows
Enrico Crovini, Simon L. Cotter, Konstantinos Zygalakis +1
Bayesian Optimisation (BO) methods seek to find global optima of objective functions which are only available as a black-box or are expensive to evaluate. Such methods construct a…
Hierarchical Bayesian data selection
Simon L. Cotter
There are many issues that can cause problems when attempting to infer model parameters from data. Data and models are both imperfect, and as such there are multiple scenarios in w…
Unlabelled landmark matching via Bayesian data selection, and application to cell matching across imaging modalities
Jessica E. Forsyth, Ali H. Al-Anbaki, Berenika Plusa +1
We consider the problem of landmark matching between two unlabelled point sets, in particular where the number of points in each cloud may differ, and where points in each cloud ma…
Bayesian inference on a microstructural, hyperelastic model of tendon deformation
James Haughton, Simon L. Cotter, William J. Parnell +1
Microstructural models of soft tissue deformation are important in applications including artificial tissue design and surgical planning. The basis of these models, and their advan…
Efficient forecasting and uncertainty quantification for large scale account level Monte Carlo models of debt recovery
Sam Baynes, Simon Cotter, Paul Russell +2
We consider the problem of forecasting debt recovery from large portfolios of non-performing unsecured consumer loans under management. The state of the art in industry is to use s…