BIPS
Leibniz Institute for Prevention Research and Epidemiology
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- survshapiq Public
- bips-typst Public
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- sys-measurement-changes Public
This repository contains the code to reproduce the simulation study in the paper "Assessing systematic changes in measurements across a data collection: A simulation study".
- harf-paper Public
Scripts and datasets to replicate the analyses in the paper on high-dimensional adversarial random forests
- journal-review-response-template Public
A template for peer review point-by-point replies in LaTeX or typst
- smmr_tpc_simulation Public
Simulation study for the paper Bang et al. (2026) "Improving finite sample performance of causal discovery by exploiting temporal structure"
- arfpy Public
Python implementation of adversarial random forests for density estimation and generative modelling
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