Discussion of "Causal inference using invariant prediction: identification and confidence intervals" by Peters, Bühlmann and Meinshausen

2016/05/24 by Oates, Chris J., Kasza, Jessica, Mukherjee, Sach
#FOS: Computer and information sciences #Methodology (stat.ME)

paper · doi:10.48550/arxiv.1605.08328

Abstract

Contribution to the discussion of the paper "Causal inference using invariant prediction: identification and confidence intervals" by Peters, Bühlmann and Meinshausen, to appear in the Journal of the Royal Statistical Society, Series B.

Related

• Causal inference using invariant prediction: identification and confidence intervals
• Rejoinder: On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning
• Discussion of "On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning"
• Causal inference: critical developments, past and future
• A Forecaster's Review of Judea Pearl's Causality: Models, Reasoning and Inference, Second Edition, 2009