JanRabenseifner

JanRabenseifner

Ph.D. student in Statistics at the University of Hamburg, Germany. Working on causal inference and double debiased machine learning.

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Causal-Propensity-Calibration Causal-Propensity-Calibration Public

Code to replicate the simulation study of the paper: Calibration Strategies for Robust Causal Estimation: Theoretical and Empirical Insights on Propensity Score Based Estimators

Jupyter Notebook 2
doubleml-for-py doubleml-for-py Public

Forked from DoubleML/doubleml-for-py

DoubleML - Double Machine Learning in Python

Python
causalCalibration causalCalibration Public

Forked from Larsvanderlaan/causalCalibration

Code for causal isotonic calibration for heterogeneous treatment effects (appeared in ICML, 2023)

R
calibration-framework calibration-framework Public

Forked from EFS-OpenSource/calibration-framework

The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a neural network.

Python
mortality-multiple-cause-of-death-dataset-2022 mortality-multiple-cause-of-death-dataset-2022 Public

Forked from RemiKalbe/mortality-multiple-cause-of-death-dataset-2022

The Mortality Multiple Cause-of-Death 2022 dataset from the NCHS preprocessed into a nice parquet file 😮‍💨.

Python
cov-balance cov-balance Public

Forked from SvenKlaassen/cov-balance

Covariate Balancing in Python

Jupyter Notebook