📢Checkout our new overview on #CausalML in Wiley #StatsRef
👉We give a concise overview of ML for causal inference — incl. IPTW, AIPTW, TMLE, meta-learners, Neyman orthogonality, ...
📄 doi.org/10.1002/9781... (or PM me)
with @larsvanderlaan3.bsky.social @valik-melnychuk.bsky.social
👉We give a concise overview of ML for causal inference — incl. IPTW, AIPTW, TMLE, meta-learners, Neyman orthogonality, ...
📄 doi.org/10.1002/9781... (or PM me)
with @larsvanderlaan3.bsky.social @valik-melnychuk.bsky.social
May 27, 2026 at 5:23 PM
📢Checkout our new overview on #CausalML in Wiley #StatsRef
👉We give a concise overview of ML for causal inference — incl. IPTW, AIPTW, TMLE, meta-learners, Neyman orthogonality, ...
📄 doi.org/10.1002/9781... (or PM me)
with @larsvanderlaan3.bsky.social @valik-melnychuk.bsky.social
👉We give a concise overview of ML for causal inference — incl. IPTW, AIPTW, TMLE, meta-learners, Neyman orthogonality, ...
📄 doi.org/10.1002/9781... (or PM me)
with @larsvanderlaan3.bsky.social @valik-melnychuk.bsky.social
If you want to know more about causal inference with machine learning, I have a chapter in Wiley StatsRef (not publicly available but a free version will be posted in Dec)
onlinelibrary.wiley.com/doi/10.1002/...
onlinelibrary.wiley.com/doi/10.1002/...
Machine Learning and Causal Inference
In this article, we review the motivation behind the use of machine learning or data-adaptive algorithms for the estimation of causal effects. To guide our discussion, we focus on the estimation of t....
onlinelibrary.wiley.com
October 26, 2024 at 3:01 PM
If you want to know more about causal inference with machine learning, I have a chapter in Wiley StatsRef (not publicly available but a free version will be posted in Dec)
onlinelibrary.wiley.com/doi/10.1002/...
onlinelibrary.wiley.com/doi/10.1002/...