A multitude of cyber-physical system (CPS) applications, including design, control,
diagnosis, prognostics, and a host of other problems, are predicated on the assumption of …

In ecology, the true causal structure for a given problem is often not known, and several
plausible models and thus model predictions exist. It has been claimed that using weighted …

Human epithelial tissues accumulate cancer-driver mutations with age,,,,,,,–, yet tumour
formation remains rare. The positive selection of these mutations suggests that they alter the …

We summarise the evidence for medicinal uses of opioids, harms related to the extramedical
use of, and dependence on, these drugs, and a wide range of interventions used to address …

Recent advances in probabilistic modelling have led to a large number of simulation-based
inference algorithms which do not require numerical evaluation of likelihoods. However, a …

Abstract We present Sequential Neural Likelihood (SNL), a new method for Bayesian
inference in simulator models, where the likelihood is intractable but simulating data from …

Abstract Sparse Identification of Nonlinear Dynamics (SINDy) is a method of system
discovery that has been shown to successfully recover governing dynamical systems from …

Abstract Beginning in May 2022, Mpox virus spread rapidly in high-income countries
through close human-to-human contact primarily amongst communities of gay, bisexual and …

Background: Vaccination is one of the most effective public health interventions. We
investigate the impact of vaccination activities for Haemophilus influenzae type b, hepatitis …

Wastewater surveillance has emerged as a useful tool in the public health response to the
COVID-19 pandemic. While wastewater surveillance has been applied at various scales to …