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Fast likelihood calculations for emerging epidemics (2025)
Journal Article
Ball, F., & Neal, P. (2025). Fast likelihood calculations for emerging epidemics. Statistical Inference for Stochastic Processes, 28, Article 5. https://doi.org/10.1007/s11203-024-09323-4

Statistical inference for epidemic outbreaks is often complicated by only partial observation of the epidemic process. Recently in Ball and Neal (Adv Appl Probab 55:895-926, 2023) the distribution of the number of infectives (individuals alive) given... Read More about Fast likelihood calculations for emerging epidemics.

Scalable Method for Bayesian Experimental Design without Integrating over Posterior Distribution (2025)
Journal Article
Hoang, V., Espath, L., Krumscheid, S., & Tempone, R. (2025). Scalable Method for Bayesian Experimental Design without Integrating over Posterior Distribution. SIAM/ASA Journal on Uncertainty Quantification, 13(1), 114-139. https://doi.org/10.1137/23m1603364

We address the computational efficiency of finding the A-optimal Bayesian experimental design, where the observation map is based on partial differential equations and thus computationally expensive to evaluate. A-optimality is a widely used and easi... Read More about Scalable Method for Bayesian Experimental Design without Integrating over Posterior Distribution.

In vivo calcium imaging reveals directional sensitivity of C-low threshold mechanoreceptors (2025)
Journal Article
Semizoglou, E., Lo Re, L., Middleton, S. J., Perez‐Sanchez, J., Tufarelli, T., Bennett, D. L., & Chisholm, K. I. (2025). In vivo calcium imaging reveals directional sensitivity of C-low threshold mechanoreceptors. Journal of Physiology, 603(4), 895-908. https://doi.org/10.1113/jp286631

C-low threshold mechanoreceptors (C-LTMRs) in animals (termed C-tactile (CT) fibres in humans) are a subgroup of C-fibre primary afferents, which innervate hairy skin and respond to low-threshold punctate indentations and brush stimuli. These afferen... Read More about In vivo calcium imaging reveals directional sensitivity of C-low threshold mechanoreceptors.

On a matrix KdV6 equation (2025)
Journal Article
Gordoa, P. R., Pickering, A., & Wattis, J. A. (2025). On a matrix KdV6 equation. Communications in Nonlinear Science and Numerical Simulation, 143, Article 108605. https://doi.org/10.1016/j.cnsns.2025.108605

The so-called KdV6 equation has, since its discovery, been the subject of much interest. In this paper we present a matrix version of this equation. On the one hand, we use the Darboux transformation to derive its Bäcklund transformation and a nonlin... Read More about On a matrix KdV6 equation.

Connecting the circular and drifted Rindler Unruh effects (2025)
Journal Article
Parry, L. J., & Louko, J. (2025). Connecting the circular and drifted Rindler Unruh effects. Physical Review D, 111(2), Article 025012. https://doi.org/10.1103/physrevd.111.025012

In Minkowski spacetime quantum field theory, each stationary motion is associated with an effective, energy-dependent notion of temperature, which generalizes the familiar Unruh temperature of uniform linear acceleration. Motivated by current experim... Read More about Connecting the circular and drifted Rindler Unruh effects.

Local quantum detection of the cosmological expansion: Unruh-DeWitt detectors in spatially compact Milne cosmology (2025)
Journal Article
Wilkinson, A. S., & Louko, J. (2025). Local quantum detection of the cosmological expansion: Unruh-DeWitt detectors in spatially compact Milne cosmology. Physical Review D, 111(2), Article 025008. https://doi.org/10.1103/physrevd.111.025008

We analyze the excitations and deexcitations of an inertial Unruh-DeWitt detector in the (1+1)-dimensional expanding Milne cosmology with compact spatial sections, coupled to a real massless scalar field with either untwisted or twisted boundary cond... Read More about Local quantum detection of the cosmological expansion: Unruh-DeWitt detectors in spatially compact Milne cosmology.

A reduced-order model for advection-dominated problems based on the Radon Cumulative Distribution Transform (2025)
Journal Article
Long, T., Barnett, R., Jefferson-Loveday, R., Stabile, G., & Icardi, M. (2025). A reduced-order model for advection-dominated problems based on the Radon Cumulative Distribution Transform. Advances in Computational Mathematics, 51(1), https://doi.org/10.1007/s10444-024-10209-5

Problems with dominant advection, discontinuities, travelling features, or shape variations are widespread in computational mechanics. However, classical linear model reduction and interpolation methods typically fail to reproduce even relatively sma... Read More about A reduced-order model for advection-dominated problems based on the Radon Cumulative Distribution Transform.

Passive Monitoring of Parkinson Tremor in Daily Life: A Prototypical Network Approach (2025)
Journal Article
Evers, L. J., Raykov, Y. P., Heskes, T. M., Krijthe, J. H., Bloem, B. R., & Little, M. A. (2025). Passive Monitoring of Parkinson Tremor in Daily Life: A Prototypical Network Approach. Sensors, 25(2), Article 366. https://doi.org/10.3390/s25020366

Objective and continuous monitoring of Parkinson’s disease (PD) tremor in free-living conditions could benefit both individual patient care and clinical trials, by overcoming the snapshot nature of clinical assessments. To enable robust detection of... Read More about Passive Monitoring of Parkinson Tremor in Daily Life: A Prototypical Network Approach.