32 search results - page 2 / 7 » Structure and Parameter Learning for Causal Independence and... |
PKDD
2010
Springer
13 years 3 months ago
2010
Springer
Abstract. A new method is proposed for compiling causal independencies into Markov logic networks (MLNs). An MLN can be viewed as compactly representing a factorization of a joint ...
JMLR
2010
13 years 3 days ago
2010
In time series analysis, inference about causeeffect relationships among multiple times series is commonly based on the concept of Granger causality, which exploits temporal struc...
SGAI
2004
Springer
13 years 10 months ago
2004
Springer
The assessment of a probability distribution associated with a Bayesian network is a challenging task, even if its topology is sparse. Special probability distributions based on t...
JMLR
2008
13 years 5 months ago
2008
Pointwise consistent, feasible procedures for estimating contemporaneous linear causal structure from time series data have been developed using multiple conditional independence ...
BMCBI
2007
13 years 5 months ago
2007
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...