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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:

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Languages and Tools:

Till Tietz's Projects

gsdmm icon gsdmm

GSDMM Short Text Clustering via Dirichlet Mixture Models

parsel icon parsel

parallel execution of RSelenium

rbow icon rbow

word frequency in context analysis for multiple texts and dictionaries

rcf icon rcf

heterogeneous treatment effect estimation with causal forests

rrelief icon rrelief

visualize data over shaded relief map backgrounds

till-tietz.github.io icon till-tietz.github.io

Use this template if you need a quick developer / data science portfolio! Based on a Minimal Jekyll theme for GitHub Pages.

treatr icon treatr

aggregate treatment indicators from small to large geographic units / binary to continuous treatment indicator conversion

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