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Nonlinear Causal Discovery with Confounders
Chunlin Li,
Xiaotong Shen
,
Wei Pan
Statistics (Twin Cities)
Biostatistics
Research output
:
Contribution to journal
›
Article
›
peer-review
5
Scopus citations
Overview
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Keyphrases
Functional Structure
100%
Structure Estimation
100%
Nonlinear Causal Discovery
100%
Confounding
50%
Scalable Computation
25%
Nonlinearity
25%
Model Identifiability
25%
Deconfounding
25%
Directed Acyclic Graph
25%
Confounding Effect
25%
Variable Order
25%
Nonlinear Relationship
25%
Gaussian Errors
25%
Discovery Method
25%
Sublinear Growth
25%
Sequential Procedure
25%
Minimality
25%
Causal Order
25%
Causal Discovery
25%
Feedforward Neural Network
25%
Python Implementation
25%
Gene Regulatory Network Analysis
25%
Correlated Gaussian
25%
Mathematics
Confounders
100%
Causal Discovery
100%
Confounding
100%
Identifiability
33%
Gaussian Distribution
33%
Minimality
33%
Nonlinear Relationship
33%
Directed Acyclic Graph
33%
Supplementary Material
33%
Neural Network
33%
Causal Order
33%
Nonlinearity
33%
Computer Science
Functional Structure
100%
Directed Acyclic Graph
25%
Sequential Procedure
25%
Supplementary Material
25%
Feedforward Neural Network
25%