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  • Berlin
  • 23:20 (UTC +01:00)

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till-tietz/README.md

Work + Interests:

  • Bayesian Causal Inference
  • Machine Learning methods for Causal Inference from observational data
  • Trying to tackle problems related to selection bias and m-graph learning
  • Developing and maintining R-Packages
  • Doing more work in C++ and Python these days

Current Package Development:

Readme Card

Languages and Tools:

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  1. parsel parsel Public

    parallel execution of RSelenium

    R 14 3

  2. rcf rcf Public

    heterogeneous treatment effect estimation with causal forests

    R 10 2