Adam N. Sanborn

Affiliations: 
2010- Psychology University of Warwick, Coventry, England, United Kingdom 
Area:
Psychology
Website:
http://www2.warwick.ac.uk/fac/sci/psych/people/asanborn/
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"Adam Sanborn"
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SNBCP
Cross-listing: PsychTree

Parents

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Thomas L. Griffiths grad student 2005-2006 Brown
Richard M. Shiffrin grad student 2001-2007 Indiana University
 (Uncovering mental representations with Markov chain Monte Carlo.)
Peter Dayan post-doc 2007-2010 UCL
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Publications

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Spicer J, Sanborn AN, Beierholm UR. (2020) Using Occam's razor and Bayesian modelling to compare discrete and continuous representations in numerosity judgements. Cognitive Psychology. 122: 101309
Hsu AS, Martin JB, Sanborn AN, et al. (2019) Identifying category representations for complex stimuli using discrete Markov chain Monte Carlo with people. Behavior Research Methods
Sanborn AN, Beierholm UR. (2016) Fast and Accurate Learning When Making Discrete Numerical Estimates. Plos Computational Biology. 12: e1004859
Sanborn AN. (2015) Types of approximation for probabilistic cognition: Sampling and variational Brain and Cognition
Sanborn AN, Griffiths TL. (2015) Exploring the structure of mental representations by implementing computer algorithms with people Cognitive Modeling in Perception and Memory: a Festschrift For Richard M. Shiffrin. 212-228
Sanborn AN. (2014) Testing Bayesian and heuristic predictions of mass judgments of colliding objects. Frontiers in Psychology. 5: 938
Tang NK, Sanborn AN. (2014) Better quality sleep promotes daytime physical activity in patients with chronic pain? A multilevel analysis of the within-person relationship. Plos One. 9: e92158
Sanborn AN, Hills TT, Dougherty MR, et al. (2014) Reply to Rouder (2014): good frequentist properties raise confidence. Psychonomic Bulletin & Review. 21: 309-11
Scholten M, Read D, Sanborn A. (2014) Weighing outcomes by time or against time? Evaluation rules in intertemporal choice. Cognitive Science. 38: 399-438
Sanborn AN, Hills TT. (2014) The frequentist implications of optional stopping on Bayesian hypothesis tests. Psychonomic Bulletin & Review. 21: 283-300
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