Selecting summary statistics in approximate bayesian computation for calibrating stochastic models.
Approximate Bayesian computation (ABC) is an approach for using measurement data to calibrate stochastic computer models, which are common in biology applications. ABC is becoming the "go-to" option when the data and/or parameter dimension is large because it relies on user-chosen summary statistics...
| Published in: | BioMed Research International Vol. 2013; pp. 210646 - 210647 |
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| Main Authors: | , |
| Format: | Journal Article |
| Published: |
Wiley-Blackwell
2013
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| Online Access: | View this record in EBSCOhost |