Global sensitivity of MEG source analysis to tissue conductivity uncertainties
The influence of inter-individual variations of tissue conductivities on MEG source analysis is generally assumed to be small in comparison to EEG source analysis and the resulting effects on MEG source analysis have therefore been investigated much less.
Johannes Vorwerk +3 more
doaj +1 more source
Principal component analysis and sparse polynomial chaos expansions for global sensitivity analysis and model calibration: Application to urban drainage simulation [PDF]
Joseph B. Nagel +2 more
openalex +1 more source
Global Climate Model tuning (calibration) is a tedious and time‐consuming process, with high‐dimensional input and output fields. Experts typically tune by iteratively running climate simulations with hand‐picked values of tuning parameters.
Drew Yarger +3 more
doaj +1 more source
mumpce_py: A Python Implementation of the Method of Uncertainty Minimization Using Polynomial Chaos Expansions. [PDF]
Sheen DA.
europepmc +1 more source
Polynomial Chaos Expansion for Probabilistic Uncertainty Propagation
Shuxing Yang +2 more
openalex +2 more sources
Polynomial Chaos Expansions for the Stability Analysis of Uncertain Delay Differential Equations
Rossana Vermiglio
openalex +2 more sources
Free Choice in Quantum Theory: A p-adic View. [PDF]
Anashin V.
europepmc +1 more source
Estimating Word Lengths for Fixed-Point DSP Implementations Using Polynomial Chaos Expansions [PDF]
Mushfiqur Rahman, Nicola Nicolici
openalex +1 more source
Improving the accuracy of retrieved cardiac electrical conductivities. [PDF]
Kamalakkanna A +2 more
europepmc +1 more source
HPOSS: A hierarchical portfolio optimization stacking strategy to reduce the generalization error of ensembles of models. [PDF]
Ozelim LCSM +4 more
europepmc +1 more source

