111 search results - page 2 / 23 » Causal Graphical Models with Latent Variables: Learning and ... |
CORR
2012
Springer
12 years 1 months ago
2012
Springer
We present a novel approach to constraintbased causal discovery, that takes the form of straightforward logical inference, applied to a list of simple, logical statements about ca...
KDD
2009
ACM
13 years 10 months ago
2009
ACM
We develop and evaluate an approach to causal modeling based on time series data, collectively referred to as“grouped graphical Granger modeling methods.” Graphical Granger mo...
JMLR
2006
13 years 5 months ago
2006
We describe anytime search procedures that (1) find disjoint subsets of recorded variables for which the members of each subset are d-separated by a single common unrecorded cause...
JMLR
2010
13 years 3 days ago
2010
We present an algorithm to infer causal relations between a set of measured variables on the basis of experiments on these variables. The algorithm assumes that the causal relatio...
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
Maximum a posteriori (MAP) inference in graphical models requires that we maximize the sum of two terms: a data-dependent term, encoding the conditional likelihood of a certain la...