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Markus Kalisch

1 paper here

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author position
  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

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  • stat.ME1

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most citedEstimating high-dimensional intervention effects from observational data

329 citations · 329 across the 1 of their papers we have counts for

collaborators

1 paper

stat.ME2008★ 329 cited

Estimating high-dimensional intervention effects from observational data

Marloes H. Maathuis, Markus Kalisch, Peter Bühlmann

We assume that we have observational data generated from an unknown underlying directed acyclic graph (DAG) model. A DAG is typically not identifiable from observational data, but…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.