Daniel J Navarro

Not every credible interval is credible: Evaluating robustness in the presence of contamination in Bayesian data analysis

Amy Perfors, Lauren A Kennedy, Daniel J Navarro, 2017, Behavior research methods.

Rational approximations to rational models: alternative algorithms for category learning.

Adam N Sanborn, Thomas L Griffiths, Daniel J Navarro, 2010, Psychological review.

Learning time-varying categories

Amy Perfors, Daniel J Navarro, Wai Keen Vong, 2013, Memory & cognition.

On the likelihood of "encapsulating all uncertainty".

Daniel J Navarro, Gary Edmond, Ben R Newell, 2017, Science & justice : journal of the Forensic Science Society.

None of the Above: A Bayesian Account of the Detection of Novel Categories

Charles Kemp, Daniel J Navarro, Charles Kemp, 2017, Psychological review.

Similarity, feature discovery, and the size principle.

Daniel J Navarro, Amy F Perfors, D. Navarro, 2010, Acta psychologica.

Structure at every scale: A semantic network account of the similarities between unrelated concepts.

Amy Perfors, Daniel J Navarro, Gert Storms, 2016, Journal of experimental psychology. General.

Introduction to the special issue on formal modeling of semantic concepts.

Daniel J Navarro, Gert Storms, Michael D Lee, 2010, Acta psychologica.

Bayesian Models of Cognition Revisited: Setting Optimality Aside and Letting Data Drive Psychological Theory

Amy Perfors, Mark Steyvers, Daniel J Navarro, 2017, Psychological review.