Model selection in historical research using approximate bayesian computation

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  • who: Xavier Rubio-Campillo from the Spain Spain Spain have published the research: Model Selection in Historical Research Using Approximate Bayesian Computation, in the Journal: PLOS ONE | DOI:10.1371/journal.pone [0146491]. January 5, 2016 of May/25,/2015
  • what: This work examines an alternate approach to this evaluation based on a Bayesian-inspired model selection method. Null Hypothesis Significance Testing is useful to prove that the model has higher predictive power than a random process. It is worth mentioning that neither method seems better than the other one, and the choice will depend . . .

     

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