Approximate Bayesian computation: Difference between revisions

Content deleted Content added
Add reference for summary statistics for model selection.
m Fix references.
Line 414:
<ref name="Klinger2017">Klinger, E.; Rickert, D.; Hasenauer, J. (2017). pyABC: distributed, likelihood-free inference.</ref>
<ref name="Salvatier2016">{{cite journal | doi=10.7717/peerj-cs.55 | doi-access=free | title=Probabilistic programming in Python using PyMC3 | date=2016 | last1=Salvatier | first1=John | last2=Wiecki | first2=Thomas V. | last3=Fonnesbeck | first3=Christopher | journal=PeerJ Computer Science | volume=2 | pages=e55 | arxiv=1507.08050 }}</ref>
}}
<ref name="Prangle">{{cite journal | doi=10.1515/sagmb-2013-0012 | title=Semi-automatic selection of summary statistics for ABC model choice| date=2014 | last1=Prangle | first1=Dennis | last2=Fearnhead | first2=Paul | last3=Cox | first3=Murray P. | last4=Biggs | first4=Patrick J. | last5=French | first5=Nigel P. | journal=Stat Appl Genet Mol Biol | pages=67–82 | arxiv=1302.5624 }}</ref>
}}