9 citations · 18 across the 8 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
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…
math.ST2023
Discussion of "A note on universal inference" by Timmy Tse and Anthony Davison
Mathias Drton, Hongjian Shi, David Strieder
Invited discussion for Stat of "A note on universal inference" by Timmy Tse and Anthony Davison (2022)
stat.ML2023
Rank-Based Causal Discovery for Post-Nonlinear Models
Grigor Keropyan, David Strieder, Mathias Drton
Learning causal relationships from empirical observations is a central task in scientific research. A common method is to employ structural causal models that postulate noisy funct…