This is your work, valued
causal-forest. Implements the Causal Forest algorithm formulated in Athey and Wager (2018).
75bayesian-hierarchical-models. Research Module in Econometrics and Statistics at Univ. Bonn (2019/2020) on Bayesian Hierarchical Models.
5random-grouping. Create recurring random groups that are chosen to minimize some criterion.
4sawr. Implementation of the SAW estimation procedure as described in "A Wavelet Method for Panel Models with Jump Discontinuities in the Parameters"
3macro_problems. Repository containing material for our macro study group.
1dotfiles. Dotfiles..
1compstat. Material for the presentation 'Fair Causal Inference for Functional Data', presented at the Computational Statistics Conference; 2022, Bologna.
1r-course. Teaching material for an introductory programming class using R
1social-cost-ai. Jupyter Notebook
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