Patrick Naim wrote:
>
> Hello,
> I am looking for any work/paper on building adaptive questionnaires
> using a prior bayesian model.
> The typical application would be online credit application. The idea is
> that you decide to accept/reject the application whenever the expected
> score is high/low enough with sufficient probability, based on collected
> answers, regardless of the next answers. So the question is how to chain
> questions so that the questionnaire comes to a yes/no conclusion as
> quick as possible, with good probability of success.
> Thank you in advance.
> Patrick Naïm
You might want to look at the literature on computer adaptive testing.
(I think there is a survey book by Wainer which might be a good starting
point). At least in theory, this is similar to computerized mastery
testing where you want to select next items based on what you think will
maximize the licenceable/ not licenceable question.
--Russell Almond
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