Definition: Beliefs held by researchers about the parameters in a statistical model before further evidence is taken into account. A ‘prior’ is expressed as a probability distribution and can be determined in a number of ways (e.g., previous research, subjective assessment, principles such as maximising entropy given constraints), and is typically combined with the likelihood function using Bayes’ theorem to obtain a posterior distribution.
Bayesian Parameter Estimation,
Reference: van de Schoot et al. (2021)
Drafted and Reviewed by: Alaa AlDoh, Charlotte R. Pennington, Martin Vasilev
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