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Bayesian Regions of Evidence (for normal distributions)
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Description: A method that visualized which priors would, had they been used, supported a claim on an effect; including priors in favour of a positive or a negative effect
Bayesian inference allows to assess whether a claim about an effect (e.g., effect > 0, effect > Δ) is justified based on a data estimate and a prior distribution that expresses an individual’s information, assumption, or belief about the effect before seeing the data. Recipients of a Bayesian inference, however, have different or differently assessed information and accordingly vary in their prior…
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MP.2021.2968.Höfler
| Forked: 2021-11-09 11:42 UTC
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