A practical introduction to Bayesian Statistics
Author(s) / Creator(s)
Demšar, Jure
Abstract / Description
Vortrag vom 04.10.2023 im Rahmen der Vortragsreihe "Practices and Tools of Open Science (PTOS)"
Bayesian statistics is slowly but steadily establishing its rightful place in the scientific community. Arguably, its workflow is more intuitive, and its results are easier to interpret in comparison with other approaches. In this workshop, we will first learn the basics concepts behind Bayesian statistics. Next, we will jump right into the fray and use Stan (the most popular framework for doing Bayesian statistics) to develop some basic Bayesian models (e.g., the Bayesian t-test, a model for comparing reaction times, etc.). We will use the developed models on real-world, practical examples and learn how to report and visualize results of Bayesian statistical analyses.
Persistent Identifier
Date of first publication
2024-04-22
Publisher
ZPID (Leibniz Institute for Psychology)
Citation
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2023_PTOS_2.6_JureDemsar_IntroductionToBayesianStatistics.webmUnknown - 1.54GBMD5: 997682ed924166f443324e137947fb0a
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There are no other versions of this object.
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Author(s) / Creator(s)Demšar, Jure
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PsychArchives acquisition timestamp2024-04-22T10:13:26Z
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Made available on2024-04-22T10:13:26Z
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Date of first publication2024-04-22
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Abstract / DescriptionVortrag vom 04.10.2023 im Rahmen der Vortragsreihe "Practices and Tools of Open Science (PTOS)"de_DE
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Abstract / DescriptionBayesian statistics is slowly but steadily establishing its rightful place in the scientific community. Arguably, its workflow is more intuitive, and its results are easier to interpret in comparison with other approaches. In this workshop, we will first learn the basics concepts behind Bayesian statistics. Next, we will jump right into the fray and use Stan (the most popular framework for doing Bayesian statistics) to develop some basic Bayesian models (e.g., the Bayesian t-test, a model for comparing reaction times, etc.). We will use the developed models on real-world, practical examples and learn how to report and visualize results of Bayesian statistical analyses.en
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Review statusunknown
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External description on another websitehttps://leibniz-psychology.org/ptos/bayesian-statistics
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Persistent Identifierhttps://hdl.handle.net/20.500.12034/9891
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Persistent Identifierhttps://doi.org/10.23668/psycharchives.14437
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Language of contenteng
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PublisherZPID (Leibniz Institute for Psychology)
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Is part ofPTOS, 2023, online
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Is related tohttps://leibniz-psychology.org/ptos/
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Dewey Decimal Classification number(s)150
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TitleA practical introduction to Bayesian Statisticsen
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DRO typemovingImage
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DRO typeconferenceObject
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Visible tag(s)ZPID video portal
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Visible tag(s)ZPID Conferences and Workshops