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» Controlling Selection Bias in Causal Inference
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AAAI
2011
12 years 4 months ago
Controlling Selection Bias in Causal Inference
Selection bias, caused by preferential exclusion of samples from the data, is a major obstacle to valid causal and statistical inferences; it cannot be removed by randomized exper...
Elias Bareinboim, Judea Pearl
CORR
2012
Springer
188views Education» more  CORR 2012»
12 years 12 days ago
A Logical Characterization of Constraint-Based Causal Discovery
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...
Tom Claassen, Tom Heskes
WWW
2011
ACM
12 years 11 months ago
Here, there, and everywhere: correlated online behaviors can lead to overestimates of the effects of advertising
Measuring the causal effects of online advertising (adfx) on user behavior is important to the health of the WWW publishing industry. In this paper, using three controlled experi...
Randall A. Lewis, Justin M. Rao, David H. Reiley
CONEXT
2009
ACM
13 years 5 months ago
Detecting network neutrality violations with causal inference
We present NANO, a system that detects when ISPs apply policies that discriminate against specific classes of applications, users, or destinations. Existing systems for detecting ...
Muhammad Mukarram Bin Tariq, Murtaza Motiwala, Nic...
BMCBI
2011
12 years 11 months ago
Tree Pruner: An efficient tool for selecting data from a biased genetic database
Background: Large databases of genetic data are often biased in their representation. Thus, selection of genetic data with desired properties, such as evolutionary representation ...
Mohan Krishnamoorthy, Pragneshkumar Patel, Mira Di...