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A latent-mixture quantum probability model of causal reasoning within a Bayesian inference framework.
Percy Mistry
Jennifer Trueblood
Joachim Vandekerckhove
Emmanuel M. Pothos
Published in:
CogSci (2015)
Keyphrases
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bayesian inference
probability model
probabilistic model
causal reasoning
statistical inference
latent variable models
probabilistic modeling
hierarchical bayesian
prior information
latent variables
bayesian model
data sets
probability distribution
learning algorithm
hyperparameters
variational inference