Danielle Navarro
TitleCited byYear
Rational approximations to rational models: alternative algorithms for category learning.
AN Sanborn, TL Griffiths, DJ Navarro
Psychological Review 117 (4), 1144-1167, 2010
Modeling individual differences using Dirichlet processes
DJ Navarro, TL Griffiths, M Steyvers, MD Lee
Journal of Mathematical Psychology 50 (2), 101-122, 2006
Learning statistics with R
D Navarro
https://learningstatisticswithr.com/, 2015
Global model analysis by parameter space partitioning.
MA Pitt, W Kim, DJ Navarro, JI Myung
Psychological Review 113 (1), 57-83, 2006
A more rational model of categorization
A Sanborn, T Griffiths, D Navarro
Better explanations of lexical and semantic cognition using networks derived from continued rather than single-word associations
S De Deyne, DJ Navarro, G Storms
Behavior Research Methods 45 (2), 480-498, 2013
Model selection by normalized maximum likelihood
JI Myung, DJ Navarro, MA Pitt
Journal of Mathematical Psychology 50 (2), 167-179, 2006
Assessing the distinguishability of models and the informativeness of data
DJ Navarro, MA Pitt, IJ Myung
Cognitive Psychology 49 (1), 47-84, 2004
Epistemic trust: Modeling children’s reasoning about others’ knowledge and intent
P Shafto, B Eaves, DJ Navarro, A Perfors
Developmental Science 15 (3), 436-447, 2012
Fast and accurate calculations for first-passage times in Wiener diffusion models
DJ Navarro, IG Fuss
Journal of Mathematical Psychology 53 (4), 222-230, 2009
Unifying rational models of categorization via the hierarchical Dirichlet process
T Griffiths, K Canini, A Sanborn, D Navarro
Psychology Press, 2007
Extending the ALCOVE model of category learning to featural stimulus domains
MD Lee, DJ Navarro
Psychonomic Bulletin & Review 9 (1), 43-58, 2002
Common and distinctive features in stimulus similarity: A modified version of the contrast model
DJ Navarro, MD Lee
Psychonomic Bulletin & Review 11 (6), 961-974, 2004
Latent features in similarity judgments: A nonparametric Bayesian approach
DJ Navarro, TL Griffiths
Neural Computation 20 (11), 2597-2628, 2008
Open parallel cooperative and competitive decision processes: A potential provenance for quantum probability decision models
IG Fuss, DJ Navarro
Topics in Cognitive Science 5 (4), 818-843, 2013
Hypothesis generation, the positive test strategy, and sparse categories
DJ Navarro, A Perfors
Psychological Review 118, 120-134, 2011
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
Bayesian models of cognition revisited: Setting optimality aside and letting data drive psychological theory.
S Tauber, DJ Navarro, A Perfors, M Steyvers
Psychological Review 124 (4), 410, 2017
Why are some word orders more common than others? A uniform information density account
L Maurits, DJ Navarro, A Perfors
Advances in Neural Information Processing Systems, 1585-1593, 2010
Sampling assumptions in inductive generalization
DJ Navarro, MJ Dry, MD Lee
Cognitive Science 36 (2), 187-223, 2012
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Articles 1–20