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Sufficient covariates and linear propensity analysis
Hui Guo
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Oznake: computer science;machine learning;bayesian learning
Working within the decision-theoretic framework for causal inference, we study the properties of "sufficient covariates", which support causal inference from observational data, and possibilities for their reduction. In particular we illustrate the role of a propensity variable by means of a simple ...
Leto: 2010 Vir: videolectures.net
Št. zadetkov: 1
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