"On assumption-free tests and confidence intervals for causal effects ..."

Lin Liu, Rajarshi Mukherjee, James M. Robins (2019)

> Home

Details and statistics

DOI: —

access: open

type: Informal or Other Publication

metadata version: 2019-04-26

- view
  - electronic edition @ arxiv.org (open access)
- export record
  dblp key:
  - journals/corr/abs-1904-04276
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1904-04276
Lin Liu, Rajarshi Mukherjee, James M. Robins:
On assumption-free tests and confidence intervals for causal effects estimated by machine learning. CoRR abs/1904.04276 (2019)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.