Danielle Navarro
Title
Cited by
Cited by
Year
Rational approximations to rational models: alternative algorithms for category learning.
AN Sanborn, TL Griffiths, DJ Navarro
Psychological Review 117 (4), 1144-1167, 2010
4412010
Learning statistics with R
D Navarro
https://learningstatisticswithr.com/, 2015
331*2015
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
1792013
Modeling individual differences using Dirichlet processes
DJ Navarro, TL Griffiths, M Steyvers, MD Lee
Journal of Mathematical Psychology 50 (2), 101-122, 2006
1742006
Global model analysis by parameter space partitioning.
MA Pitt, W Kim, DJ Navarro, JI Myung
Psychological Review 113 (1), 57-83, 2006
1532006
A more rational model of categorization
A Sanborn, T Griffiths, D Navarro
Proceedings of the 28th Annual Conference of the Cognitive Science Society, 2006
1412006
Model selection by normalized maximum likelihood
JI Myung, DJ Navarro, MA Pitt
Journal of Mathematical Psychology 50 (2), 167-179, 2006
1402006
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
1372009
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
1352012
The “Small World of Words” English word association norms for over 12,000 cue words
S De Deyne, DJ Navarro, A Perfors, M Brysbaert, G Storms
Behavior Research Methods 51 (3), 987-1006, 2019
1272019
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
1132017
Assessing the distinguishability of models and the informativeness of data
DJ Navarro, MA Pitt, IJ Myung
Cognitive Psychology 49 (1), 47-84, 2004
1102004
Unifying rational models of categorization via the hierarchical Dirichlet process
T Griffiths, K Canini, A Sanborn, D Navarro
Proceedings of the 29th Annual Cognitive Science Society, 2007
1062007
Extending the ALCOVE model of category learning to featural stimulus domains
MD Lee, DJ Navarro
Psychonomic Bulletin & Review 9 (1), 43-58, 2002
862002
Hypothesis generation, the positive test strategy, and sparse categories
DJ Navarro, A Perfors
Psychological Review 118, 120-134, 2011
83*2011
Is preregistration worthwhile?
A Szollosi, D Kellen, D Navarro, R Shiffrin, I van Rooij, T Van Zandt, ...
PsyArXiv, 2019
82*2019
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
782004
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
722013
Between the devil and the deep blue sea: Tensions between scientific judgement and statistical model selection
DJ Navarro
Computational Brain & Behavior 2 (1), 28-34, 2019
712019
Latent features in similarity judgments: A nonparametric Bayesian approach
DJ Navarro, TL Griffiths
Neural Computation 20 (11), 2597-2628, 2008
692008
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Articles 1–20