Cardiac electrophysiology models are among the most mature and well‐studied
mathematical models of biological systems. This maturity is bringing new challenges as …

Abstract Model calibration is crucial for optimizing the performance of complex computer
models across various disciplines. In the era of Industry 4.0, symbolizing rapid technological …

The development of parameterizations is a major task in the development of weather and
climate models. Model improvement has been slow in the past decades, due to the difficulty …

Many computer models possess high-dimensional input spaces and substantial
computational time to produce a single model evaluation. Although such models are often …

We introduce June, an open-source framework for the detailed simulation of epidemics on
the basis of social interactions in a virtual population constructed from geographically …

Analyzing Stochastic Computer Models: A Review with Opportunities Page 1 Statistical
Science 2022, Vol. 37, No. 1, 64–89 https://doi.org/10.1214/21-STS822 © Institute of …

In a number of cases, the quantile Gaussian process has proven effective in emulating
stochastic, univariate computer model output [M. Plumlee and R. Tuo, Technometrics, 56 …

Background Many mathematical models have now been employed across every area of
systems biology. These models increasingly involve large numbers of unknown parameters …

Background With ambitious new UNAIDS targets to end AIDS by 2030, and new WHO
treatment guidelines, there is increased interest in the best way to scale-up ART coverage …

Complex, highly-computational, individual-based models are abundant in epidemiology. For
epidemics such as macro-parasitic diseases, detailed modelling of human behaviour and …