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A Complete Generalized Adjustment Criterion

A Complete Generalized Adjustment Criterion

6 July 2015
Emilija Perković
J. Textor
M. Kalisch
Marloes H. Maathuis
    OffRLCML
ArXiv (abs)PDFHTML

Papers citing "A Complete Generalized Adjustment Criterion"

15 / 15 papers shown
Title
Your Assumed DAG is Wrong and Here's How To Deal With It
Kirtan Padh
Zhufeng Li
Cecilia Casolo
Niki Kilbertus
CML
104
0
0
24 Feb 2025
Practically Effective Adjustment Variable Selection in Causal Inference
Practically Effective Adjustment Variable Selection in Causal Inference
Atsushi Noda
Takashi Isozaki
117
0
0
04 Feb 2025
Data-Driven Estimation of Heterogeneous Treatment Effects
Data-Driven Estimation of Heterogeneous Treatment Effects
Christopher Tran
Keith Burghardt
Kristina Lerman
Elena Zheleva
CML
56
1
0
16 Jan 2023
Necessary and sufficient graphical conditions for optimal adjustment
  sets in causal graphical models with hidden variables
Necessary and sufficient graphical conditions for optimal adjustment sets in causal graphical models with hidden variables
Jakob Runge
CML
94
27
0
20 Feb 2021
Efficient least squares for estimating total effects under linearity and
  causal sufficiency
Efficient least squares for estimating total effects under linearity and causal sufficiency
By F. Richard Guo
Emilija Perković
CML
109
13
0
08 Aug 2020
Semiparametric Inference For Causal Effects In Graphical Models With
  Hidden Variables
Semiparametric Inference For Causal Effects In Graphical Models With Hidden Variables
Rohit Bhattacharya
Razieh Nabi
I. Shpitser
CML
96
64
0
27 Mar 2020
Causality and Robust Optimization
Causality and Robust Optimization
Akihiro Yabe
CML
8
0
0
28 Feb 2020
On efficient adjustment in causal graphs
On efficient adjustment in causal graphs
Jan-Jelle Witte
Leonard Henckel
Marloes H. Maathuis
Vanessa Didelez
CML
80
70
0
17 Feb 2020
Identifying causal effects in maximally oriented partially directed
  acyclic graphs
Identifying causal effects in maximally oriented partially directed acyclic graphs
Emilija Perković
CML
59
39
0
07 Oct 2019
Graphical Criteria for Efficient Total Effect Estimation via Adjustment
  in Causal Linear Models
Graphical Criteria for Efficient Total Effect Estimation via Adjustment in Causal Linear Models
Leonard Henckel
Emilija Perković
Marloes H. Maathuis
CML
104
108
0
04 Jul 2019
Causal Effect Identification from Multiple Incomplete Data Sources: A
  General Search-based Approach
Causal Effect Identification from Multiple Incomplete Data Sources: A General Search-based Approach
Santtu Tikka
Antti Hyttinen
Juha Karvanen
CML
150
31
0
04 Feb 2019
Causal Calculus in the Presence of Cycles, Latent Confounders and
  Selection Bias
Causal Calculus in the Presence of Cycles, Latent Confounders and Selection Bias
Patrick Forré
Joris M. Mooij
CML
79
32
0
02 Jan 2019
Separators and Adjustment Sets in Causal Graphs: Complete Criteria and
  an Algorithmic Framework
Separators and Adjustment Sets in Causal Graphs: Complete Criteria and an Algorithmic Framework
Benito van der Zander
Maciej Liskiewicz
J. Textor
CML
62
37
0
28 Feb 2018
Interpreting and using CPDAGs with background knowledge
Interpreting and using CPDAGs with background knowledge
Emilija Perković
M. Kalisch
Marloes H. Maathuis
73
52
0
07 Jul 2017
Complete Graphical Characterization and Construction of Adjustment Sets
  in Markov Equivalence Classes of Ancestral Graphs
Complete Graphical Characterization and Construction of Adjustment Sets in Markov Equivalence Classes of Ancestral Graphs
Emilija Perković
J. Textor
M. Kalisch
Marloes H. Maathuis
OffRL
93
149
0
22 Jun 2016
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