Academic Journal

How the Choice of Distance Measure Influences the Detection of Prior-Data Conflict

التفاصيل البيبلوغرافية
العنوان: How the Choice of Distance Measure Influences the Detection of Prior-Data Conflict
المؤلفون: Lek, K.M., van de Schoot, R.
المساهمون: Methodology and statistics for the behavioural and social sciences, Leerstoel Schoot
سنة النشر: 2019
مصطلحات موضوعية: prior-data conflict, distance measure, Kullback-Leibler, data agreement criterion
الوصف: Thepresentpapercontraststworelatedcriteriafortheevaluationofprior-dataconflict: the Data Agreement Criterion (DAC; Bousquet, 2008) and the criterion of Nott et al. (2016). One aspect that these criteria have in common is that they depend on a distance measure, of which dozens are available, but so far, only the Kullback-Leibler has been used. We describe and compare both criteria to determine whether a different choice of distance measure might impact the results. By means of a simulation study, we investigate how the choice of a specific distance measure influences the detection of prior-data conflict. The DAC seems more susceptible to the choice of distance measure, while the criterion of Nott et al. seems to lead to reasonably comparable conclusions of prior-data conflict, regardless of the distance measure choice. We conclude with some practical suggestions for the user of the DAC and the criterion of Nott et al.
نوع الوثيقة: article in journal/newspaper
وصف الملف: image/pdf
اللغة: English
تدمد: 1099-4300
Relation: https://dspace.library.uu.nl/handle/1874/389822
الاتاحة: https://dspace.library.uu.nl/handle/1874/389822
Rights: info:eu-repo/semantics/OpenAccess
رقم الانضمام: edsbas.BB1F0A87
قاعدة البيانات: BASE