Adam Sanborn
Adam Sanborn
Professor, Department of Psychology, University of Warwick
Verified email at - Homepage
TitleCited byYear
Rational approximations to rational models: alternative algorithms for category learning.
AN Sanborn, TL Griffiths, DJ Navarro
Psychological review 117 (4), 1144, 2010
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
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
A more rational model of categorization
A Sanborn, T Griffiths, D Navarro
Reconciling intuitive physics and Newtonian mechanics for colliding objects.
AN Sanborn, VK Mansinghka, TL Griffiths
Psychological review 120 (2), 411, 2013
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
Model evaluation using grouped or individual data
AL Cohen, AN Sanborn, RM Shiffrin
Psychonomic Bulletin & Review 15 (4), 692-712, 2008
Bayesian brains without probabilities
AN Sanborn, N Chater
Trends in cognitive sciences 20 (12), 883-893, 2016
Unifying rational models of categorization via the hierarchical Dirichlet process
T Griffiths, K Canini, A Sanborn, D Navarro
Psychology Press, 2007
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
Uncovering mental representations with Markov chain Monte Carlo
AN Sanborn, TL Griffiths, RM Shiffrin
Cognitive psychology 60 (2), 63-106, 2010
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
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 frequentist implications of optional stopping on Bayesian hypothesis tests
AN Sanborn, TT Hills
Psychonomic bulletin & review 21 (2), 283-300, 2014
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, TL Griffiths
Advances in neural information processing systems, 1265-1272, 2008
Hierarchical learning of dimensional biases in human categorization
A Sanborn, N Chater, KA Heller
Advances in neural information processing systems, 727-735, 2009
A Bayesian framework for modeling intuitive dynamics
AN Sanborn, VK Mansinghka, TL Griffiths
Proceedings of the 31st annual conference of the cognitive science society, 1-6, 2009
Types of approximation for probabilistic cognition: Sampling and variational
AN Sanborn
Brain and cognition 112, 98-101, 2017
Testing the efficiency of Markov Chain Monte Carlo with people using facial affect categories.[in press]
JB Martin, TL Griffiths, AN Sanborn
Cognitive Science, 0
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