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COGSCI
2004
120views more  COGSCI 2004»
13 years 7 months ago
Children's causal inferences from indirect evidence: Backwards blocking and Bayesian reasoning in preschoolers
Previous research suggests that children can infer causal relations from patterns of events. However, what appear to be cases of causal inference may simply reduce to children rec...
David M. Sobel, Joshua B. Tenenbaum, Alison Gopnik
JMLR
2010
165views more  JMLR 2010»
13 years 2 months ago
Causal Inference
: This review presents empirical researchers with recent advances in causal inference, and stresses the paradigmatic shifts that must be undertaken in moving from traditional stati...
Judea Pearl
JMLR
2010
143views more  JMLR 2010»
13 years 2 months ago
Beware of the DAG!
Directed acyclic graph (DAG) models are popular tools for describing causal relationships and for guiding attempts to learn them from data. In particular, they appear to supply a ...
A. Philip Dawid
UAI
1994
13 years 8 months ago
A New Look at Causal Independence
Heckerman (1993) defined causal independence in terms of a set of temporal conditional independence statements. These statements formalized certain types of causal interaction whe...
David Heckerman, John S. Breese
SG
2005
Springer
14 years 28 days ago
Picturing Causality - The Serendipitous Semiotics of Causal Graphs
Abstract. Bayesian nets (BNs) appeared in the 1980s as a solution to computational and representational problems encountered in knowledge representation of uncertain information. S...
Eric Neufeld, Sonje Kristtorn