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Automating the Selection of Proxy Variables of Unmeasured Confounders

Automating the Selection of Proxy Variables of Unmeasured Confounders

25 May 2024
Feng Xie
Zhengming Chen
Shanshan Luo
Wang Miao
Ruichu Cai
Zhi Geng
    CML
ArXivPDFHTML

Papers citing "Automating the Selection of Proxy Variables of Unmeasured Confounders"

6 / 6 papers shown
Title
Generalized Independent Noise Condition for Estimating Causal Structure
  with Latent Variables
Generalized Independent Noise Condition for Estimating Causal Structure with Latent Variables
Feng Xie
Erdun Gao
Zhen Chen
Ruichu Cai
Clark Glymour
Zhi Geng
Kun Zhang
CML
44
7
0
13 Aug 2023
Deep Proxy Causal Learning and its Application to Confounded Bandit
  Policy Evaluation
Deep Proxy Causal Learning and its Application to Confounded Bandit Policy Evaluation
Liyuan Xu
Heishiro Kanagawa
Arthur Gretton
CML
40
37
0
07 Jun 2021
Calculation of Entailed Rank Constraints in Partially Non-Linear and
  Cyclic Models
Calculation of Entailed Rank Constraints in Partially Non-Linear and Cyclic Models
Peter Spirtes
55
28
0
17 Sep 2013
Causal Inference in the Presence of Latent Variables and Selection Bias
Causal Inference in the Presence of Latent Variables and Selection Bias
Peter Spirtes
Christopher Meek
Thomas S. Richardson
CML
176
443
0
20 Feb 2013
Positivity for Gaussian graphical models
Positivity for Gaussian graphical models
J. Draisma
S. Sullivant
Kelli Talaska
117
20
0
01 Oct 2012
Learning high-dimensional directed acyclic graphs with latent and
  selection variables
Learning high-dimensional directed acyclic graphs with latent and selection variables
Diego Colombo
Marloes H. Maathuis
M. Kalisch
Thomas S. Richardson
CML
112
464
0
29 Apr 2011
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