We just released version 0.4.0 of the #python and #rstats package 📦 DoubleML to #PyPI and #cran 🚀.
https://t.co/7aN5fLXT5P
https://t.co/bZgibNSbtl
Release highlight: An implementation of cluster robust double machine learning.
Summary thread for the new feature 👇
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📚 New working paper available on arXiv
Vine copula based knockoff generation for high-dimensional controlled variable selection
https://t.co/7rGDcOqFQO
📚🥳 Happy to announce that our article "Testing the simplifying assumption in high-dimensional vine copulas", co-authored with F. Spanhel, got published in Electronic Journal of Statistics. @InstMathStat@projecteuclid https://t.co/mBvEOlA062
@BenAndoSays@ChristophMolnar On https://t.co/KRTiQrQ59Y we have some material (e.g. a user guide) with Python & R code for doing the analysis with the DoubleML package. Additionally the vignette to the R-📦 is also rather detailed https://t.co/DJfkWSPuK9. There are some log posts like https://t.co/CpEtVpCKmF
scikit-learn 1.1.2 is out on https://t.co/lSpi4eDc2t and conda-forge!
This is a small maintenance release that fixes a couple of regressions:
https://t.co/Oa84ES0qpG
📚🥳 Happy to announce that our article Risk Assessment and Spurious Seasonality, co-authored with Stefan Mittnik, got accepted for publication at Econometrics and Statistics https://t.co/epTkoHg3l1
@TU_Muenchen@LMU_Muenchen@ScalableCapDACH
📖FREE TO VIEW – Have a look at the Econometrics Journal paper on causal mediation analysis with double machine learning.
Author: Helmut Farbmacher, @CausalHuber, @lukaslaffers, Henrika Langen & @MartinSpindler5
Read here👉https://t.co/ejoKffo46t
#EconTwitter#AcademicTwitter
"DoubleML - An Object-Oriented Implementation of Double Machine Learning in Python", by Philipp Bach, Victor Chernozhukov, Malte S. Kurz, Martin Spindler. https://t.co/uqKws9zMam