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Trends in Cognitive Sciences|March 23, 2017
Bayesian Brains without ProbabilitiesAdam N Sanborn, Nick Chater
Journal of Vision|December 14, 2011
Optimal decisions for contrast discriminationAdam N Sanborn, Peter Dayan
Plos Computational Biology|April 13, 2016
Fast and Accurate Learning When Making Discrete Numerical EstimatesAdam N Sanborn, Ulrik R Beierholm
Psychonomic Bulletin & Review|October 9, 2013
The frequentist implications of optional stopping on Bayesian hypothesis testsAdam N Sanborn, Thomas T Hills
The Behavioral and Brain Sciences|September 23, 2024
Combining meta-learned models with process models of cognitionAdam N Sanborn, Haijiang Yan, Christian Tsvetkov
Psychological Review|March 20, 2020
The Bayesian sampler: Generic Bayesian inference causes incoherence in human probability judgmentsJian-Qiao Zhu, Adam N Sanborn, Nick Chater
Cognitive Psychology|August 26, 2009
Uncovering mental representations with Markov chain Monte CarloAdam N Sanborn, Thomas L Griffiths, Richard M Shiffrin
Psychonomic Bulletin & Review|September 17, 2008
Model evaluation using grouped or individual dataAndrew L Cohen, Adam N Sanborn, Richard M Shiffrin
Cognition|December 10, 2019
A dilution effect without dilution: When missing evidence, not non-diagnostic evidence, is judged inaccuratelyAdam N Sanborn, Takao Noguchi, James Tripp, et al.
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