Adam Sanborn
Adam Sanborn
Professor, Department of Psychology, University of Warwick
Verified email at - Homepage
Cited by
Cited by
Rational approximations to rational models: alternative algorithms for category learning.
AN Sanborn, TL Griffiths, DJ Navarro
Psychological review 117 (4), 1144, 2010
Bayesian brains without probabilities
AN Sanborn, N Chater
Trends in cognitive sciences 20 (12), 883-893, 2016
Bridging levels of analysis for probabilistic models of cognition
TL Griffiths, E Vul, AN Sanborn
Current Directions in Psychological Science 21 (4), 263-268, 2012
Deciphering the temporal link between pain and sleep in a heterogeneous chronic pain patient sample: a multilevel daily process study
NKY Tang, CE Goodchild, AN Sanborn, J Howard, PM Salkovskis
Sleep 35 (5), 675-687, 2012
Reconciling intuitive physics and Newtonian mechanics for colliding objects.
AN Sanborn, VK Mansinghka, TL Griffiths
Psychological review 120 (2), 411, 2013
Exemplar models as a mechanism for performing Bayesian inference
L Shi, TL Griffiths, NH Feldman, AN Sanborn
Psychonomic bulletin & review 17 (4), 443-464, 2010
A more rational model of categorization
A Sanborn, T Griffiths, D Navarro
Model evaluation using grouped or individual data
AL Cohen, AN Sanborn, RM Shiffrin
Psychonomic Bulletin & Review 15 (4), 692-712, 2008
Unifying rational models of categorization via the hierarchical Dirichlet process
TL Griffiths, KR Canini, AN Sanborn, DJ Navarro
Proceedings of the Annual Meeting of the Cognitive Science Society 29 (29), 2007
Better quality sleep promotes daytime physical activity in patients with chronic pain? A multilevel analysis of the within-person relationship
NKY Tang, AN Sanborn
PloS one 9 (3), e92158, 2014
The Bayesian sampler: Generic Bayesian inference causes incoherence in human probability judgments.
JQ Zhu, AN Sanborn, N Chater
Psychological review 127 (5), 719, 2020
Uncovering mental representations with Markov chain Monte Carlo
AN Sanborn, TL Griffiths, RM Shiffrin
Cognitive psychology 60 (2), 63-106, 2010
Environmental support promotes expertise-based mitigation of age differences on pilot communication tasks.
DG Morrow, HE Ridolfo, WE Menard, A Sanborn, EAL Stine-Morrow, ...
Psychology and Aging 18 (2), 268, 2003
What sways people’s judgment of sleep quality? A quantitative choice-making study with good and poor sleepers
F Ramlee, AN Sanborn, NKY Tang
Sleep 40 (7), zsx091, 2017
Categorization as nonparametric Bayesian density estimation
TL Griffiths, AN Sanborn, KR Canini, DJ Navarro
The probabilistic mind: Prospects for Bayesian cognitive science, 303-328, 2008
Weighing Outcomes by Time or Against Time? Evaluation Rules in Intertemporal Choice
M Scholten, D Read, A Sanborn
Cognitive science 38 (3), 399-438, 2014
Markov chain Monte Carlo with people
A Sanborn, T Griffiths
Advances in neural information processing systems 20, 2007
The frequentist implications of optional stopping on Bayesian hypothesis tests
AN Sanborn, TT Hills
Psychonomic bulletin & review 21, 283-300, 2014
Types of approximation for probabilistic cognition: Sampling and variational
AN Sanborn
Brain and cognition 112, 98-101, 2017
Probabilistic biases meet the Bayesian brain
N Chater, JQ Zhu, J Spicer, J Sundh, P León-Villagrá, A Sanborn
Current Directions in Psychological Science 29 (5), 506-512, 2020
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