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DoubleML -- An Object-Oriented Implementation of Double Machine Learning
  in R

DoubleML -- An Object-Oriented Implementation of Double Machine Learning in R

17 March 2021
Philipp Bach
Victor Chernozhukov
Malte S. Kurz
Martin Spindler
Jan Rabenseifner
    GP
ArXivPDFHTML

Papers citing "DoubleML -- An Object-Oriented Implementation of Double Machine Learning in R"

11 / 11 papers shown
Title
Double Machine Learning for Adaptive Causal Representation in
  High-Dimensional Data
Double Machine Learning for Adaptive Causal Representation in High-Dimensional Data
Lynda Aouar
Han Yu
CML
71
0
0
22 Nov 2024
Management Decisions in Manufacturing using Causal Machine Learning --
  To Rework, or not to Rework?
Management Decisions in Manufacturing using Causal Machine Learning -- To Rework, or not to Rework?
Philipp Schwarz
Oliver Schacht
Jan Rabenseifner
Daniel Grünbaum
Sebastian Imhof
Martin Spindler
CML
33
0
0
17 Jun 2024
DoubleMLDeep: Estimation of Causal Effects with Multimodal Data
DoubleMLDeep: Estimation of Causal Effects with Multimodal Data
Jan Rabenseifner
Jan Teichert-Kluge
Philipp Bach
Victor Chernozhukov
Martin Spindler
Suhas Vijaykumar
BDL
CML
18
6
0
01 Feb 2024
Average partial effect estimation using double machine learning
Average partial effect estimation using double machine learning
Harvey Klyne
Rajen Dinesh Shah
27
3
0
17 Aug 2023
Causally Learning an Optimal Rework Policy
Causally Learning an Optimal Rework Policy
Oliver Schacht
Jan Rabenseifner
Philipp Schwarz
Martin Spindler
Daniel Grünbaum
Sebastian Imhof
OffRL
9
2
0
07 Jun 2023
TSCI: two stage curvature identification for causal inference with
  invalid instruments
TSCI: two stage curvature identification for causal inference with invalid instruments
Dave Carl
Corinne Emmenegger
Peter Buhlmann
Zijian Guo
CML
26
1
0
02 Apr 2023
Generalized Kernel Regularized Least Squares
Generalized Kernel Regularized Least Squares
Qing Chang
Max Goplerud
24
5
0
28 Sep 2022
Demystifying statistical learning based on efficient influence functions
Demystifying statistical learning based on efficient influence functions
Oliver Hines
O. Dukes
Karla Diaz-Ordaz
S. Vansteelandt
TDI
19
110
0
01 Jul 2021
DoubleML -- An Object-Oriented Implementation of Double Machine Learning
  in Python
DoubleML -- An Object-Oriented Implementation of Double Machine Learning in Python
Philipp Bach
Victor Chernozhukov
Malte S. Kurz
Martin Spindler
VLM
GP
12
34
0
07 Apr 2021
ranger: A Fast Implementation of Random Forests for High Dimensional
  Data in C++ and R
ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R
Marvin N. Wright
A. Ziegler
93
2,732
0
18 Aug 2015
Hypothesis Testing in High-Dimensional Regression under the Gaussian
  Random Design Model: Asymptotic Theory
Hypothesis Testing in High-Dimensional Regression under the Gaussian Random Design Model: Asymptotic Theory
Adel Javanmard
Andrea Montanari
112
160
0
17 Jan 2013
1