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EXPRESS: Stratified Distributional Analysis -- a Novel Perspective on RT Distributions (2024)
Journal Article
Thul, R., Marsh, J., Dijkstra, T., & Conklin, K. (2024). EXPRESS: Stratified Distributional Analysis -- a Novel Perspective on RT Distributions. Quarterly Journal of Experimental Psychology, https://doi.org/10.1177/17470218241288516

Response times and their distributions serve as a powerful lens into cognitive processes. We present a novel statistical methodology called Stratified Distributional Analysis (SDA) to quantitatively assess how key determinants of response times (word... Read More about EXPRESS: Stratified Distributional Analysis -- a Novel Perspective on RT Distributions.

Comparative judgement modeling to map forced marriage at local levels (2024)
Journal Article
Seymour, R., Nyarko-Agyei, A., Mccabe, H., Severn, K., Sirl, D., Kypraios, T., & Taylor, A. (in press). Comparative judgement modeling to map forced marriage at local levels. Annals of Applied Statistics,

Forcing someone into marriage against their will is a violation of their human rights. In 2021, the county of Nottinghamshire, UK, launched a strategy to tackle forced marriage and violence against women and girls. We set out to map the risk of force... Read More about Comparative judgement modeling to map forced marriage at local levels.

A Shape-Newton method for free-boundary problems subject to the Bernoulli boundary condition (2024)
Journal Article
Fan, Y., Billingham, J., & van der Zee, K. (in press). A Shape-Newton method for free-boundary problems subject to the Bernoulli boundary condition. SIAM Journal on Scientific Computing,


We develop a shape-Newton method for solving generic free-boundary problems where one of the free-boundary conditions is governed by the nonlinear Bernoulli equation. The method is a Newton-like scheme that employs shape derivatives of the governin... Read More about A Shape-Newton method for free-boundary problems subject to the Bernoulli boundary condition.

Topo-Geometric Analysis of Variability in Point Clouds using Persistence Landscapes (2024)
Journal Article
Matuk, J., Kurtek, S., & Bharath, K. (in press). Topo-Geometric Analysis of Variability in Point Clouds using Persistence Landscapes. IEEE Transactions on Pattern Analysis and Machine Intelligence,

Topological data analysis provides a set of tools to uncover low-dimensional structure in noisy point clouds. Prominent amongst the tools is persistence homology, which summarizes birth-death times of homological features using data objects known as... Read More about Topo-Geometric Analysis of Variability in Point Clouds using Persistence Landscapes.

Optimising experimental designs for model selection of ion channel drug binding mechanisms (2024)
Preprint / Working Paper
Patten-Elliott, F., Lei, C. L., Preston, S. P., Wilkinson, R. D., & Mirams, G. R. Optimising experimental designs for model selection of ion channel drug binding mechanisms

The rapid delayed rectifier current carried by the human Ether-à-go-go-Related Gene (hERG) channel is susceptible to drug-induced reduction which can lead to an increased risk of cardiac arrhythmia. Establishing the mechanism by which a specific drug... Read More about Optimising experimental designs for model selection of ion channel drug binding mechanisms.

MPeat2D - a fully coupled mechanical-ecohydrological model of peatland development in two dimensions (2024)
Journal Article
Mahdiyasa, A. W., Large, D. J., Icardi, M., & Muljadi, B. P. (2024). MPeat2D - a fully coupled mechanical-ecohydrological model of peatland development in two dimensions. Earth Surface Dynamics, 12(4), 929-952. https://doi.org/10.5194/esurf-12-929-2024

Higher-dimensional models of peatland development are required to analyse the influence of spatial heterogeneity and complex feedback mechanisms on peatland behaviour. However, the current models exclude the mechanical process that leads to uncertain... Read More about MPeat2D - a fully coupled mechanical-ecohydrological model of peatland development in two dimensions.

Evaluating the predictive accuracy of ion channel models using data from multiple experimental designs (2024)
Preprint / Working Paper
Shuttleworth, J. G., Lei, C. L., Windley, M. J., Hill, A. P., Preston, S. P., & Mirams, G. R. Evaluating the predictive accuracy of ion channel models using data from multiple experimental designs

Mathematical models are increasingly being relied upon to provide quantitatively accurate predictions of cardiac electrophysiology. Many such models concern the behaviour of particular subcellular components (namely, ion channels) which, together, al... Read More about Evaluating the predictive accuracy of ion channel models using data from multiple experimental designs.