294 search results - page 2 / 59 » Identifying Conditional Causal Effects |
ICML
2008
IEEE
14 years 6 months ago
2008
IEEE
Causal analysis of continuous-valued variables typically uses either autoregressive models or linear Gaussian Bayesian networks with instantaneous effects. Estimation of Gaussian ...
UAI
1994
13 years 6 months ago
1994
Most traditional models of uncertainty have focused on the associational relationship among variables as captured by conditional dependence. In order to successfully manage intell...
AAAI
2011
12 years 5 months ago
2011
Blocking is a technique commonly used in manual statistical analysis to account for confounding variables. However, blocking is not currently used in automated learning algorithms...
UAI
1994
13 years 6 months ago
1994
Heckerman (1993) defined causal independence in terms of a set of temporal conditional independence statements. These statements formalized certain types of causal interaction whe...
ICML
2007
IEEE
14 years 6 months ago
2007
IEEE
We describe a causal learning method, which employs measuring the strength of statistical dependences in terms of the Hilbert-Schmidt norm of kernel-based cross-covariance operato...