Measuring variable importance for computational models or measured data is an important
task in many applications. It has drawn our attention that the variable importance analysis …

Biogeochemical simulation models are important tools for describing and quantifying the
contribution of agricultural systems to C sequestration and GHG source/sink status. The …

Abstract An SL 1 L 2 I 1 I 2 A 1 A 2 R epidemic model is formulated that describes the spread
of an epidemic in a population. The model incorporates an Erlang distribution of times of …

In many fields, such as environmental risk assessment, agronomic system behavior,
aerospace engineering, and nuclear safety, mathematical models turned into computer code …

Many dynamic models are used for risk assessment and decision support in ecology and
crop science. Such models generate time-dependent model predictions, with time either …

Abstract Systems pharmacology is an emerging field that integrates systems biology and
pharmacology to advance the process of drug discovery, development and the …

Sensitivity analysis (SA) has become a basic tool for the understanding, application and
development of models. However, in the past, little attention has been paid to the effects of …

Process-based crop models use many cultivar parameters to simulate crop growth. Usually,
these parameters cannot be directly measured and need to be calibrated when the crop …

This paper investigates the problem of global sensitivity analysis (GSA) of Dynamical Earth
System Models and proposes a basis for how such analyses should be performed. We …

Many mathematical and computational models used in engineering produce multivariate
output that shows some degree of correlation. However, conventional approaches to Global …