
Determining the Veracity of Rumours on Twitter
While social networks can provide an ideal platform for uptodate infor...
read it

In the mood: the dynamics of collective sentiments on Twitter
We study the relationship between the sentiment levels of Twitter users ...
read it

l1norm Penalized Orthogonal Forward Regression
A l1norm penalized orthogonal forward regression (l1POFR) algorithm is...
read it

Bayesian model comparison with unnormalised likelihoods
Models for which the likelihood function can be evaluated only up to a p...
read it

Lazier ABC
ABC algorithms involve a large number of simulations from the model of i...
read it

Heterogeneous Tensor Decomposition for Clustering via Manifold Optimization
Tensors or multiarray data are generalizations of matrices. Tensor clust...
read it

Particle filters for applications in geosciences
Particle filters contain the promise of fully nonlinear data assimilatio...
read it

LFRic: Meeting the challenges of scalability and performance portability in Weather and Climate models
This paper describes LFRic: the new weather and climate modelling system...
read it

Perturbation Bounds for Monte Carlo within Metropolis via Restricted Approximations
The Monte Carlo within Metropolis (MCwM) algorithm, interpreted as a per...
read it

Precision of the ENDGame: Mixedprecision arithmetic in the iterative solver of the Unified Model
The Met Office's weather and climate simulation code the Unified Model i...
read it

Modelling the Demand and Uncertainty of Low Voltage Networks and the Effect of nonDomestic Consumers
The increasing use and spread of low carbon technologies are expected to...
read it

Sparse Least Squares Low Rank Kernel Machines
A general framework of least squares support vector machine with low ran...
read it

Ensemble MCMC: Accelerating PseudoMarginal MCMC for State Space Models using the Ensemble Kalman Filter
Particle Markov chain Monte Carlo (pMCMC) is now a popular method for pe...
read it

Analysis of parallel I/O use on the UK national supercomputing service, ARCHER using Cray LASSi and EPCC SAFE
In this paper, we describe how we have used a combination of the LASSi t...
read it

Residual estimates for postprocessors in elliptic problems
In this work we examine a posteriori error control for postprocessed ap...
read it

Spectral estimates for saddle point matrices arising in weak constraint fourdimensional variational data assimilation
We consider the largesparse symmetric linear systems of equations that ...
read it

Coupling Matrix Manifolds and Their Applications in Optimal Transport
Optimal transport (OT) is a powerful tool for measuring the distance bet...
read it

Lessons from reinforcement learning for biological representations of space
Neuroscientists postulate 3D representations in the brain in a variety o...
read it

Bayesian inference of dynamics from partial and noisy observations using data assimilation and machine learning
The reconstruction from observations of highdimensional chaotic dynamic...
read it

MCMC for Bayesian uncertainty quantification from timeseries data
Many problems in science and engineering require uncertainty quantificat...
read it

Reconstructing regimedependent causal relationships from observational time series
Inferring causal relations from observational time series data is a key ...
read it
University of Reading
Discover the University of Reading – a global university that enjoys a worldclass reputation for teaching, research and enterprise.