Sanborn, Adam N., Hills, Thomas Trenholm, Dougherty, Michael R., Thomas, Rick P., Yu, Erica C. and Sprenger, Amber M. (2014) Reply to Rouder (2014) : good frequentist properties raise confidence. Psychonomic Bulletin & Review , Volume 21 (Number 2). pp. 309-311. ISSN 1069-9384

Scholten, Marc, Read, Daniel and Sanborn, Adam N.. (2014) Weighing outcomes by time or against time? Evaluation rules in intertemporal choice. Cognitive Science . ISSN 0364-0213 (In Press)

Sanborn, Adam N., Mansinghka, Vikash K. and Griffiths, Thomas L.. (2013) Reconciling intuitive physics and Newtonian mechanics for colliding objects. Psychological Review, 120 (2). pp. 411-437. ISSN 0033-295X

Sanborn, Adam N. and Silva, Ricardo. (2013) Constraining bridges between levels of analysis : a computational justification for locally Bayesian learning. Journal of Mathematical Psychology, Volume 57 (Number 3-4). pp. 94-106. ISSN 0022-2496

Griffiths, T. L., Vul, E. and Sanborn, A. N.. (2012) Bridging levels of analysis for probabilistic models of cognition. Current Directions in Psychological Science, Volume 21 (Number 4). pp. 263-268. ISSN 0963-7214

Tang, Nicole K.Y., Goodchild, Claire E., Sanborn, Adam N., Howard, Jonathan and Salkovskis, Paul M.. (2012) Deciphering the temporal link between pain and sleep in a heterogeneous chronic pain patient sample : a multilevel daily process study. Sleep, Vol.35 (No.5). pp. 675-687. ISSN 0161-8105

Martin, J. B., Griffiths, Thomas L. and Sanborn, Adam N.. (2012) Testing the efficiency of Markov Chain Monte Carlo with people using facial affect categories. Cognitive Science, Vol.36 (No.11). pp. 150-162. ISSN 0364-0213

Griffiths, Thomas L., Sanborn, Adam N, Canini, Kevin R., Navarro, Daniel J. and Tenenbaum, Joshua B. (2011) Nonparametric Bayesian models of categorization. In: Pothos, Emmanuel M. and Wills, Andy J. , (eds.) Formal Approaches in Categorization. Cambridge: Cambridge University Press, pp. 173-198. ISBN 9780521190480

Sanborn, Adam N. and Dayan, P.. (2011) Optimal decisions for contrast discrimination. Journal of Vision, Vol.11 (No.14). Article no. 9. ISSN 1534-7362

Shi, Lei, Griffiths, Thomas L., Feldman, Naomi H. and Sanborn, Adam N.. (2010) Exemplar models as a mechanism for performing Bayesian inference. Psychonomic bulletin & review, Vol.17 (No.4). pp. 443-64. ISSN 1531-5320

Sanborn, Adam N., Griffiths, Thomas L. and Navarro, Daniel J. (2010) Rational approximations to rational models : alternative algorithms for category learning. Psychological Review, Vol.117 (No.4). pp. 1144-67. ISSN 1939-1471

Sanborn, Adam N., Griffiths, Thomas L. and Shiffrin, Richard M.. (2010) Uncovering mental representations with Markov chain Monte Carlo. Cognitive Psychology, Vol.60 (No.2). pp. 63-106. ISSN 00100285

Heller, Katherine, Sanborn, Adam N. and Chater, Nick (2009) Hierarchical learning of dimensional biases in human categorization. In: Lafferty , J. Clayton (James Clayton), 1928- and Williams , C., (eds.) Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009, December 7-10, 2009, Vancouver, B.C., Canada. La Jolla, C.A.: Neural Information Processing Systems. ISBN 9781615679119

Griffiths, Thomas L., Canini, Kevin R., Sanborn, Adam N. and Navarro, Daniel J. (2009) Unifying rational models of categorization via the hierarchical Dirichlet process. In: Proceedings of the 29th Annual Conference of the Cognitive Science Society. Mahwah, N.J.: Lawrence Erlbaum, p. 323. ISBN 9781605605074

Griffiths, Thomas L., Sanborn, Adam N., Canini, Kevin R. and Navarro, Daniel J. (2008) Categorization as nonparametric Bayesian density estimation. In: Chater, Nick and Oaksford, Mike, (eds.) The probabilistic mind : prospects for Bayesian cognitive science. Oxford : Oxford University Press, pp. 303-328. ISBN 9780199216093

Sanborn, Adam N. and Griffiths, Thomas L. (2008) Markov chain Monte Carlo with people. In: Platt, John C., (ed.) Advances in Neural Information Processing Systems 20: 21st Annual Conference on Neural Information Processing Systems 2007. Red Hook, N.Y.: Curran Associates Inc, pp. 1265-1272. ISBN 9781605603520

Cohen, Andrew L., Sanborn, Adam N. and Shiffrin, Richard M.. (2008) Model evaluation using grouped or individual data. Psychonomic Bulletin & Review, Vol.15 (No.4). pp. 692-712. ISSN 1069-9384

Sanborn, Adam N., Griffiths, Thomas L. and Navarro, Daniel J. (2006) A more rational model of categorization. In: Proceedings of the 28th annual conference of the Cognitive Science Society. Mahwah, N.J.: Lawrence Erlbaum, pp. 726-731. ISBN 9780976831822

Sanborn, Adam N., Malmberg, Kenneth J. and Shiffrin, Richard M.. (2004) High-level effects of masking on perceptual identification. Vision Research, Vol.44 (No.12). pp. 1427-1436. ISSN 00426989

Morrow, Daniel G., Ridolfo, Heather E., Menard, William E., Sanborn, Adam N., Stine-Morrow, Elizabeth A. L., Magnor, Cliff, Herman, Larry, Teller, Thomas and Bryant, David. (2003) Environmental support promotes expertise-based mitigation of age differences on pilot communication tasks. Psychology and Aging, Vol.18 (No.2). pp. 268-284. ISSN 0882-7974

Sanborn, Adam N., Mansinghka, Vikash and Griffiths , Thomas L. A Bayesian framework for modeling intuitive dynamics. In: CogSci 2009: 31st Annual Meeting of the Cognitive Science Society, Amsterdam, Netherlands, 29 Jul - 1 Aug 2009

Sanborn, Adam N. and Silva, Ricardo Belief propagation and locally Bayesian learning. In: CogSci 2009: 31st Annual Meeting of the Cognitive Science Society, Amsterdam, Netherlands, 29 Jul - 1 Aug 2009

Martin, Jason, Griffiths , Thomas L. and Sanborn, Adam N. A walk through face space : affect classification using Markov chain Monte Carlo. In: CogSci 2009: 31st Annual Meeting of the Cognitive Science Society, Amsterdam, Netherlands, 29 Jul - 1 Aug 2009