Activity Number:
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258
- On Recent Progress in Measuring Dependence and Conditional Dependence
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Type:
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Invited
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Date/Time:
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Tuesday, August 9, 2022 : 10:30 AM to 12:20 PM
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Sponsor:
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IMS
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Abstract #320652
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Title:
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Non-Parametric Local Causal Structure Learning
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Author(s):
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Mona Azadkia* and Armeen Taeb and Peter Bühlmann
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Companies:
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ETH Zürich and ETH Zürich and ETH Zürich
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Keywords:
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Conditional Independence;
Non-parametric;
Graphical models ;
Markov boundary;
Structural equation models
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Abstract:
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With the non-parametric measure of dependence CODEC, we introduce a computationally fast algorithm to find the set of parents of a response variable of interest. We provide theoretical guarantees of our procedure when the underlying DAG does not contain cycles. We give a conservative guarantee against false positive causal claims when the set of parents is identifiable.
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Authors who are presenting talks have a * after their name.