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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...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Päätekijät: Burr, Tom, Skurikhin, Alexei
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Hindawi Publishing Corporation 2013
Aiheet:
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC3830866/
https://ncbi.nlm.nih.gov/pubmed/24288668
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2013/210646
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