Hovhannes Grigoryan

Tag: causal-inference

5 items with this tag.

  • Apr 19, 2026

    The three causal ML research frontiers that actually matter in 2026

    • writing
    • causal-inference
    • research-agenda
  • Feb 01, 2026

    Quantile treatment effects: estimands, identification, and a panel-data pitfall

    • causal-inference
    • quantile-regression
    • identification
  • Jan 31, 2026

    The DiD revolution: heterogeneous effects and staggered adoption

    • causal-inference
    • econometrics
    • panel-data
  • Jan 25, 2026

    Causal forests and the honest tree

    • causal-inference
    • heterogeneous-treatment-effects
    • non-parametric
  • Jan 24, 2026

    Double Machine Learning: Neyman orthogonality and the cross-fitting cure

    • causal-inference
    • machine-learning
    • methodology

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