Stephanie M. Denison

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

Parents

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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.)

Children

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Carolyn Baer research assistant University of Waterloo (PsychTree)
BETA: Related publications

Publications

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Nancekivell SE, Ho V, Denison S. (2020) Who knows what? Preschoolers appreciate the link between ownership and knowledge. Developmental Psychology
Nancekivell SE, Ho V, Denison S. (2020) Who knows what? Preschoolers appreciate the link between ownership and knowledge. Developmental Psychology
Doan T, Friedman O, Denison S. (2019) Young Children Use Probability to Infer Happiness and the Quality of Outcomes. Psychological Science. 956797619895282
Doan T, Friedman O, Denison S. (2019) Young Children Use Probability to Infer Happiness and the Quality of Outcomes. Psychological Science. 956797619895282
Doan T, Friedman O, Denison S. (2019) Young Children Use Probability to Infer Happiness and the Quality of Outcomes. Psychological Science. 956797619895282
Doan T, Friedman O, Denison S. (2019) Young Children Use Probability to Infer Happiness and the Quality of Outcomes. Psychological Science. 956797619895282
Denison S, Xu F. (2019) Infant Statisticians: The Origins of Reasoning Under Uncertainty. Perspectives On Psychological Science : a Journal of the Association For Psychological Science. 1745691619847201
Doan T, Friedman O, Denison S. (2018) Beyond belief: The probability-based notion of surprise in children. Emotion (Washington, D.C.)
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
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