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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2013-01-01
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| Series: | BioMed Research International |
| Online Access: | http://dx.doi.org/10.1155/2013/210646 |