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Shultz, Thomas R. – Developmental Science, 2007
This commentary reviews five articles that apply Bayesian ideas to psychological development, some with psychology experiments, some with computational modeling, and some with both experiments and modeling. The reviewed work extends the current Bayesian revolution into tasks often studied in children, such as causal learning and word learning, and…
Descriptors: Psychology, Bayesian Statistics, Experiments, Modeling (Psychology)