Perturbation-based Effect Measures for Compositional Data

arXiv:2311.18501 · stat.ME, math.ST, stat.ML, stat.TH · Submitted 2023-11-30 · Read on arXiv

stat.ME, math.ST, stat.ML, stat.TH

Submitted: 2023-11-30

Updated: 2026-08-25

Code: https://github.com/jacobbien/trac-reproducible

Terminology

• Causal Inference — 10× in this paper · explained in 4 episodes
• Score Function — 7× in this paper · explained in 4 episodes
• Abundance — 6× in this paper · explained in 1 episode
• Generalization — 2× in this paper · explained in 13 episodes
• Generative Model — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Sparsity — 2× in this paper · explained in 4 episodes
• Theoretical Guarantees — 2× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Computational Biology — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• English Language Arts — 1× in this paper
• Feature Selection — 1× in this paper · explained in 4 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Influence Functions — 1× in this paper · explained in 2 episodes
• Longitudinal Data — 1× in this paper · explained in 2 episodes
• Model-Agnostic — 1× in this paper · explained in 2 episodes
• Objective Function — 1× in this paper · explained in 2 episodes
• Predictive Modeling — 1× in this paper · explained in 2 episodes
• Structural Causal Model (SCM) — 1× in this paper · explained in 4 episodes
• Uncertainty Quantification — 1× in this paper · explained in 8 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes

Sources

• Semiparametric doubly robust targeted double machine learning: a review
• Average partial effect estimation using double machine learning
• Geodesic Causal Inference
• Reproducing Kernels and New Approaches in Compositional Data Analysis

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