A Novel Approach for Choosing Summary Statistics in Approximate Bayesian Computation
The choice of summary statistics is a crucial step in approximate Bayesian computation (ABC). Since statistics are often not sufficient, this choice involves a trade-off between loss of information and reduction of dimensionality. The latter may increase the efficiency of ABC. Here, we propose an ap...
Main Authors: | Aeschbacher, Simon, Beaumont, Mark A., Futschik, Andreas |
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Format: | Online |
Language: | English |
Published: |
Genetics Society of America
2012
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Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3522150/ |
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