Model parameters. Prior distributions are represented as the median (2·5-97·5 percentile) for beta distributions, and as [minimum – maximum] for uniformly distributed priors. Uniform priors are chosen to be minimally informative, and their ranges were adjusted empirically such that well-fitting models had values far from the endpoints.
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https://figshare.com/articles/dataset/Model_parameters_Prior_distributions_are_represented_as_the_median_2_5-97_5_percentile_for_beta_distributions_and_as_minimum_maximum_for_uniformly_distributed_priors_Uniform_priors_are_chosen_to_be_minimally_informative_and_their_ranges_wer/30641532
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Model parameters. Prior distributions are represented as the median (2·5-97·5 percentile) for beta distributions, and as [minimum – maximum] for uniformly distributed priors. Uniform priors are chosen to be minimally informative, and their ranges were adjusted empirically such that well-fitting models had values far from the endpoints.
创建时间：
2025-11-17
