Concept

Conclusions of Sensitivity Analysis of Linear Structural Causal Models

The research on sensitivity analysis of linear structural causal models (SCMs) yielded two primary conclusions:

  1. It generated a general framework for conducting sensitivity analyses specifically in linear SCMs.
  2. Future research should explore extensions into different models to develop techniques applicable to more general models.

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Updated 2026-04-30

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Data Science