9 citations · 18 across the 8 of their papers we have counts for
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stat.ME2024
Identifying Total Causal Effects in Linear Models under Partial Homoscedasticity
David Strieder, Mathias Drton
A fundamental challenge of scientific research is inferring causal relations based on observed data. One commonly used approach involves utilizing structural causal models that pos…
stat.ME2024
Dual Likelihood for Causal Inference under Structure Uncertainty
David Strieder, Mathias Drton
Knowledge of the underlying causal relations is essential for inferring the effect of interventions in complex systems. In a widely studied approach, structural causal models postu…
stat.ME2023★ 7 cited
Confidence in Causal Inference under Structure Uncertainty in Linear Causal Models with Equal Variances
David Strieder, Mathias Drton
Inferring the effect of interventions within complex systems is a fundamental problem of statistics. A widely studied approach employs structural causal models that postulate noisy…