Adam Sanborn
Adam Sanborn
Professor, Department of Psychology, University of Warwick
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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
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
Reconciling intuitive physics and Newtonian mechanics for colliding objects.
AN Sanborn, VK Mansinghka, TL Griffiths
Psychological review 120 (2), 411, 2013
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
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
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
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
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
The Bayesian sampler: Generic Bayesian inference causes incoherence in human probability judgments.
JQ Zhu, AN Sanborn, N Chater
Psychological review 127 (5), 719, 2020
Mental sampling in multimodal representations
JQ Zhu, AN Sanborn, N Chater
arXiv preprint arXiv:1710.05219, 2017
Hierarchical Learning of Dimensional Biases in Human Categorization.
KA Heller, A Sanborn, N Chater
NIPS, 727-735, 2009
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), 2017
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