Stephanie M. Denison

Psychology University of California, Berkeley, Berkeley, CA 
Infant Cognition, Probabilistic Reasoning
"Stephanie Denison"
Mean distance: 17.07 (cluster 15)
Cross-listing: PsychTree


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Fei Xu grad student 2007-2012 UC Berkeley
 (Inductive Inference in Infants and Young Children: The Role of Probabilistic Reasoning.)
Alison Gopnik grad student 2009-2012 UC Berkeley
 (Inductive Inference in Infants and Young Children: The Role of Probabilistic Reasoning.)


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Carolyn Baer research assistant University of Waterloo (PsychTree)
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Bonawitz E, Denison S, Gopnik A, et al. (2014) Win-Stay, Lose-Sample: a simple sequential algorithm for approximating Bayesian inference. Cognitive Psychology. 74: 35-65
Bonawitz E, Denison S, Griffiths TL, et al. (2014) Probabilistic models, learning algorithms, and response variability: sampling in cognitive development. Trends in Cognitive Sciences. 18: 497-500
Denison S, Trikutam P, Xu F. (2014) Probability versus representativeness in infancy: can infants use naïve physics to adjust population base rates in probabilistic inference? Developmental Psychology. 50: 2009-19
Denison S, Xu F. (2014) The origins of probabilistic inference in human infants. Cognition. 130: 335-47
Denison S, Bonawitz E, Gopnik A, et al. (2013) Rational variability in children's causal inferences: the Sampling Hypothesis. Cognition. 126: 285-300
Denison S, Reed C, Xu F. (2013) The emergence of probabilistic reasoning in very young infants: evidence from 4.5- and 6-month-olds. Developmental Psychology. 49: 243-9
Bonawitz E, Gopnik A, Denison S, et al. (2012) Rational randomness: the role of sampling in an algorithmic account of preschooler's causal learning. Advances in Child Development and Behavior. 43: 161-91
Denison S, Xu F. (2012) Probabilistic inference in human infants. Advances in Child Development and Behavior. 43: 27-58
Denison S, Xu F. (2010) Integrating physical constraints in statistical inference by 11-month-old infants. Cognitive Science. 34: 885-908
Denison S, Xu F. (2010) Twelve- to 14-month-old infants can predict single-event probability with large set sizes. Developmental Science. 13: 798-803
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