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...

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Detalles Bibliográficos
Autores principales: Aeschbacher, Simon, Beaumont, Mark A., Futschik, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Genetics Society of America 2012
Materias:
Investigations
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3522150/
https://www.ncbi.nlm.nih.gov/pubmed/22960215
http://dx.doi.org/10.1534/genetics.112.143164

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3522150/
https://www.ncbi.nlm.nih.gov/pubmed/22960215
http://dx.doi.org/10.1534/genetics.112.143164

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