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20212023
most citedDouble Machine Learning for Partially Linear Mixed-Effects Models with Repeated Measurements

9 citations · 20 across the 5 of their papers we have counts for

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2 papers · 1 filter

stat.ME2023★ 1 cited

TSCI: two stage curvature identification for causal inference with invalid instruments

David Carl, Corinne Emmenegger, Peter Bühlmann +1

TSCI implements treatment effect estimation from observational data under invalid instruments in the R statistical computing environment. Existing instrumental variable approaches…

math.ST2023★ 2 cited

Confidence and Uncertainty Assessment for Distributional Random Forests

Jeffrey Näf, Corinne Emmenegger, Peter Bühlmann +1

The Distributional Random Forest (DRF) is a recently introduced Random Forest algorithm to estimate multivariate conditional distributions. Due to its general estimation procedure,…