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09/05/2023
Identifying Causal Effects Using Instrumental Variables from the Auxiliary Population
Instrumental variable approaches have gained popularity for estimating c...
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04/28/2023
Identification and Estimation of Causal Effects Using non-Gaussianity and Auxiliary Covariates
Assessing causal effects in the presence of unmeasured confounding is a ...
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07/10/2022
On the Representation of Causal Background Knowledge and its Applications in Causal Inference
Causal background knowledge about the existence or the absence of causal...
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06/16/2022
Identification and estimation of causal effects in the presence of confounded principal strata
The principal stratification has become a popular tool to address a broa...
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02/25/2021
A Local Method for Identifying Causal Relations under Markov Equivalence
Causality is important for designing interpretable and robust methods in...
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06/10/2020
Low Rank Directed Acyclic Graphs and Causal Structure Learning
Despite several important advances in recent years, learning causal stru...
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10/23/2016
Formulas for Counting the Sizes of Markov Equivalence Classes of Directed Acyclic Graphs
The sizes of Markov equivalence classes of directed acyclic graphs play ...
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03/04/2013
Supplement to "Reversible MCMC on Markov equivalence classes of sparse directed acyclic graphs"
This supplementary material includes three parts: some preliminary resul...
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09/26/2012
