Categorization

Bayes prevails in implicit learning categorization and beyond

Researchers have argued for centuries over two leading statistical approaches: Bayesian analysis and the Frequentist approach. Both holding their own complex (and convincing) reasoning, well-meaning researchers can all agree on the goal of their analyses: reaching conclusions with the least amount of bias and error. The war between Bayesians and Frequentists is likely far from […]

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The uncompromising red of a Ferrari: Feature inferences in probabilistic categorization

The world around us is structured. Certain features of objects just go together. Imagine a muscular sports car in a 1950s black-and-white photograph, like this classic Ferrari 340: What do you think its color was? And what color would you guess a 1950’s VW beetle in a grayscale image was? Chances are you did not […]

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