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Danielle Navarro
Danielle Navarro
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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
4532010
Learning statistics with R
D Navarro
https://learningstatisticswithr.com/, 2015
377*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
1962013
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
1912019
Modeling individual differences using Dirichlet processes
DJ Navarro, TL Griffiths, M Steyvers, MD Lee
Journal of Mathematical Psychology 50 (2), 101-122, 2006
1722006
Global model analysis by parameter space partitioning.
MA Pitt, W Kim, DJ Navarro, JI Myung
Psychological Review 113 (1), 57-83, 2006
1612006
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
1562009
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
1452012
A more rational model of categorization
A Sanborn, T Griffiths, D Navarro
Proceedings of the 28th Annual Conference of the Cognitive Science Society, 2006
1452006
Model selection by normalized maximum likelihood
JI Myung, DJ Navarro, MA Pitt
Journal of Mathematical Psychology 50 (2), 167-179, 2006
1432006
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
1262017
Assessing the distinguishability of models and the informativeness of data
DJ Navarro, MA Pitt, IJ Myung
Cognitive Psychology 49 (1), 47-84, 2004
1152004
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
1112007
Is preregistration worthwhile?
A Szollosi, D Kellen, D Navarro, R Shiffrin, I van Rooij, T Van Zandt, ...
PsyArXiv, 2019
1082019
Hypothesis generation, the positive test strategy, and sparse categories
DJ Navarro, A Perfors
Psychological Review 118, 120-134, 2011
91*2011
Extending the ALCOVE model of category learning to featural stimulus domains
MD Lee, DJ Navarro
Psychonomic Bulletin & Review 9 (1), 43-58, 2002
862002
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
852019
Large-scale network representations of semantics in the mental lexicon.
S De Deyne, YN Kenett, D Anaki, M Faust, D Navarro
Routledge/Taylor & Francis Group, 2017
812017
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
812004
The case for formal methodology in scientific reform
B Devezer, DJ Navarro, J Vandekerckhove, E Ozge Buzbas
Royal Society open science 8 (3), 200805, 2020
782020
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Articles 1–20