The Volatility of Data Space: Topology Oriented Sensitivity Analysis.
Where this comes from
- Record sourced from PubMed, PMID 26368929.
- Also identified by DOI 10.1371/journal.pone.0137591 and PMC identifier 4569382.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Despite the difference among specific methods, existing Sensitivity Analysis (SA) technologies are all value-based, that is, the uncertainties in the model input and output are quantified as changes of values. This paradigm provides only limited insight into the nature of models and the modeled systems. In addition to the value of data, a potentially richer information about the model lies in the topological difference between pre-model data space and post-model data space. This paper introduces an innovative SA method called Topology Oriented Sensitivity Analysis, which defines sensitivity as the volatility of data space. It extends SA into a deeper level that lies in the topology of data.
Medical subject headings
- Data Interpretation, Statistical
- Spatial Analysis