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Daniel R Cavagnaro1, Mark A Pitt, Jay I Myung
1Department of Psychology, The Ohio State University, 1835 Neil Avenue, Columbus, OH 43210, USA. cavagnaro.2@osu.edu
This study shows that Bayesian adaptive design optimization (ADO) improves experimental efficiency by intelligently adjusting study parameters. ADO decisively distinguished between forgetting models, favoring the power model over the exponential model.
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