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Bayesian data analy...
Bayesian data analysis in empirical software engineering---The case of missing data
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- Torkar, Richard, 1971 (författare)
- Gothenburg University,Göteborgs universitet,Institutionen för data- och informationsteknik, Software Engineering (GU),Institutionen för data- och informationsteknik, Software Engineering (GU)
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Feldt, Robert, 1972 (författare)
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Furia, Carlo A. (författare)
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(creator_code:org_t)
- Springer International Publishing, 2020
- 2020
- Engelska.
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Ingår i: Contemporary Empirical Methods in Software Engineering. - : Springer International Publishing. - 9783030324889
- Relaterad länk:
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https://gup.ub.gu.se...
Abstract
Ämnesord
Stäng
- Bayesian data analysis (BDA) is today used by a multitude of research disciplines. These disciplines use BDA as a way to embrace uncertainty by using multilevel models and making use of all available information at hand. In this chapter, we first introduce the reader to BDA and then provide an example from empirical software engineering, where we also deal with a common issue in our field, i.e., missing data. The example we make use of presents the steps done when conducting state of the art statistical analysis. First, we need to understand the problem we want to solve. Second, we conduct causal analysis. Third, we analyze non-identifiability. Fourth, we conduct missing data analysis. Finally, we do a sensitivity analysis of priors. All this before we design our statistical model. Once we have a model, we present several diagnostics one can use to conduct sanity checks. We hope that through these examples, the reader will see the advantages of using BDA. This way, we hope Bayesian statistics will become more prevalent in our field, thus partly avoiding the reproducibility crisis we have seen in other disciplines.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Programvaruteknik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Software Engineering (hsv//eng)
Nyckelord
- bayesian data analysis
Publikations- och innehållstyp
- ref (ämneskategori)
- kap (ämneskategori)
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