about
Assessing the distinguishability of models and the informativeness of data.Similarity, distance, and categorization: a discussion of Smith's (2006) warning about "colliding parameters".Latent features in similarity judgments: a nonparametric bayesian approach.Similarity, feature discovery, and the size principle.Hypothesis generation, sparse categories, and the positive test strategy.Sampling assumptions in inductive generalization.Learning time-varying categories.What are the mechanics of quantum cognition?How do people learn from negative evidence? Non-monotonic generalizations and sampling assumptions in inductive reasoning.Bayesian models of cognition revisited: Setting optimality aside and letting data drive psychological theory.Not every credible interval is credible: Evaluating robustness in the presence of contamination in Bayesian data analysis.Better explanations of lexical and semantic cognition using networks derived from continued rather than single-word associations.None of the Above: A Bayesian Account of the Detection of Novel Categories.Language evolution can be shaped by the structure of the world.Does response scaling cause the generalized context model to mimic a prototype model?Leaping to Conclusions: Why Premise Relevance Affects Argument Strength.Rational approximations to rational models: alternative algorithms for category learning.Introduction to the special issue on formal modeling of semantic concepts.Learning and choosing in an uncertain world: An investigation of the explore-exploit dilemma in static and dynamic environments.On the likelihood of "encapsulating all uncertainty".Epistemic trust: modeling children's reasoning about others' knowledge and intent.The helpfulness of category labels in semi-supervised learning depends on category structure.A note on the applied use of MDL approximations.Common and distinctive features in stimulus similarity: a modified version of the contrast model.Global model analysis by parameter space partitioning.Extending the ALCOVE model of category learning to featural stimulus domains.Erroneous gambling-related beliefs as illusions of primary and secondary control: a confirmatory factor analysis.The structure of sequential effects.The "Small World of Words" English word association norms for over 12,000 cue wordsModeling individual differences using Dirichlet processesDo Additional Features Help or Hurt Category Learning? The Curse of Dimensionality in Human LearnersThe diversity effect in inductive reasoning depends on sampling assumptions.Structure at every scale: A semantic network account of the similarities between unrelated concepts
P50
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P50
description
Australian statistician
@en
statisticus uit Australiƫ
@nl
name
Danielle Navarro
@ast
Danielle Navarro
@en
Danielle Navarro
@es
Danielle Navarro
@nl
type
label
Danielle Navarro
@ast
Danielle Navarro
@en
Danielle Navarro
@es
Danielle Navarro
@nl
altLabel
Dani Navarro
@en
Daniel J. Navarro
@en
Daniel Joseph Navarro
@en
Daniel Navarro
@en
Danielle J. Navarro
@en
prefLabel
Danielle Navarro
@ast
Danielle Navarro
@en
Danielle Navarro
@es
Danielle Navarro
@nl
P106
P1960
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P2002
P2381
P2456
P27
P31
P496
0000-0001-7648-6578