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Acceleration of the EM and ECM algorithms by Aitken delta^2 method for log-linear models with partia
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图模型的结构学习及因果推断
期刊论文 19 会议论文 1 著作 1
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Discover local causal network around a target to a given depth.
Review and prospect of the project of applied statistical methods.
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Active learning of causal networks with intervention experiments and optimal designs.
Structural learning of chain graphs via decomposition.
A recursive method for structural learning of directed acyclic graphs?
A new non-randomized model for analysing sensitive questions with binary outcomes?
Criteria for surrogate end points?
Criteria for surrogate endpoints based on causal distributions.
On varying covariance model.
Detecting multiple confounders.
Collapsibility for directed acyclic graphs.
Some association measures and their collapsibility?.
Acceleration of the EM algorithm using the vector epsilon algorithm?