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bayesian-hierarchical-models

Research Module in Econometrics and Statistics at Univ. Bonn (2019/2020) on Bayesian Hierarchical Models.

bgse-party

causal-forest

Implements the Causal Forest algorithm formulated in Athey and Wager (2018).

clean-pdf

Add white rectangles to pdf using Python.

compstat

Material for the presentation 'Fair Causal Inference for Functional Data', presented at the Computational Statistics Conference; 2022, Bologna.

curriculum_vitae

My cv..

dotfiles

Dotfiles..

estimagic

A fork of optimagic-dev/optimagic used to release the estimagic subpackage.

gp-visualization

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

macro_problems

Repository containing material for our macro study group.

metrics-ta

neural-net

JAX implementation of a vanilla MLP neural network

optimagic

pytask-test

r-course

Teaching material for an introductory programming class using R

random-grouping

Create recurring random groups that are chosen to minimize some criterion.

sawr

Implementation of the SAW estimation procedure as described in "A Wavelet Method for Panel Models with Jump Discontinuities in the Parameters"

simulation-saw-paper

Code to reproduce simulation results in paper.

social-cost-ai

staged-recipes

A place to submit conda recipes before they become fully fledged conda-forge feedstocks

student-project-timmens

Student Project of Tim Mensinger and Florian Schoner

testing

textemplates

LaTeX/XeLaTeX templates for academic publications: articles, dissertations, posters, and bachelor’s/master’s theses

timmens.github.io

Personal website.

topics-metrics-2021