Variable importance analysis: A comprehensive review
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 …
task in many applications. It has drawn our attention that the variable importance analysis …
Review and analysis of strengths and weaknesses of agro-ecosystem models for simulating C and N fluxes
Biogeochemical simulation models are important tools for describing and quantifying the
contribution of agricultural systems to C sequestration and GHG source/sink status. The …
contribution of agricultural systems to C sequestration and GHG source/sink status. The …
[HTML][HTML] A simple model for COVID-19
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 …
of an epidemic in a population. The model incorporates an Erlang distribution of times of …
[图书][B] Basics and trends in sensitivity analysis: Theory and practice in R
In many fields, such as environmental risk assessment, agronomic system behavior,
aerospace engineering, and nuclear safety, mathematical models turned into computer code …
aerospace engineering, and nuclear safety, mathematical models turned into computer code …
Multivariate sensitivity analysis to measure global contribution of input factors in dynamic models
M Lamboni, H Monod, D Makowski - Reliability engineering & system safety, 2011 - Elsevier
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 …
crop science. Such models generate time-dependent model predictions, with time either …
Systems pharmacology in drug discovery and therapeutic insight for herbal medicines
Abstract Systems pharmacology is an emerging field that integrates systems biology and
pharmacology to advance the process of drug discovery, development and the …
pharmacology to advance the process of drug discovery, development and the …
Parameter sensitivity analysis of crop growth models based on the extended Fourier Amplitude Sensitivity Test method
J Wang, X Li, L Lu, F Fang - Environmental modelling & software, 2013 - Elsevier
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 …
development of models. However, in the past, little attention has been paid to the effects of …
Sensitivity and uncertainty analysis of the APSIM-wheat model: Interactions between cultivar, environmental, and management parameters
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 …
these parameters cannot be directly measured and need to be calibrated when the crop …
Revisiting the basis of sensitivity analysis for dynamical earth system models
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 …
System Models and proposes a basis for how such analyses should be performed. We …
Global sensitivity analysis for multivariate output using polynomial chaos expansion
O Garcia-Cabrejo, A Valocchi - Reliability Engineering & System Safety, 2014 - Elsevier
Many mathematical and computational models used in engineering produce multivariate
output that shows some degree of correlation. However, conventional approaches to Global …
output that shows some degree of correlation. However, conventional approaches to Global …