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1206.6831
Cited By
Pearl's Calculus of Intervention Is Complete
27 June 2012
Yimin Huang
Marco Valtorta
CML
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Papers citing
"Pearl's Calculus of Intervention Is Complete"
32 / 82 papers shown
Title
Probabilistic Reasoning across the Causal Hierarchy
D. Ibeling
Thomas Icard
LRM
AI4CE
57
31
0
09 Jan 2020
Identifying causal effects in maximally oriented partially directed acyclic graphs
Emilija Perković
CML
69
39
0
07 Oct 2019
Info Intervention
Heyang Gong
Zhu Ke
CML
38
0
0
24 Jul 2019
Identification In Missing Data Models Represented By Directed Acyclic Graphs
Rohit Bhattacharya
Razieh Nabi
I. Shpitser
J. M. Robins
CML
64
37
0
29 Jun 2019
Replacing the do-calculus with Bayes rule
Finnian Lattimore
D. Rohde
22
9
0
17 Jun 2019
Causal Effect Identification from Multiple Incomplete Data Sources: A General Search-based Approach
Santtu Tikka
Antti Hyttinen
Juha Karvanen
CML
172
31
0
04 Feb 2019
Causal Calculus in the Presence of Cycles, Latent Confounders and Selection Bias
Patrick Forré
Joris M. Mooij
CML
89
32
0
02 Jan 2019
Causal Inference by String Diagram Surgery
B. Jacobs
A. Kissinger
Fabio Zanasi
CML
99
59
0
20 Nov 2018
Surrogate Outcomes and Transportability
Santtu Tikka
Juha Karvanen
CML
44
5
0
19 Jun 2018
Enhancing Identification of Causal Effects by Pruning
Santtu Tikka
Juha Karvanen
CML
55
14
0
19 Jun 2018
Simplifying Probabilistic Expressions in Causal Inference
Santtu Tikka
Juha Karvanen
CML
60
13
0
19 Jun 2018
Separators and Adjustment Sets in Causal Graphs: Complete Criteria and an Algorithmic Framework
Benito van der Zander
Maciej Liskiewicz
J. Textor
CML
81
37
0
28 Feb 2018
Causal Effect Identification in Acyclic Directed Mixed Graphs and Gated Models
Jose M. Peña
Marcus Bendtsen
CML
45
6
0
22 Dec 2016
Learning Instrumental Variables with Non-Gaussianity Assumptions: Theoretical Limitations and Practical Algorithms
Ricardo M. A. Silva
Shohei Shimizu
CML
71
1
0
09 Nov 2015
Decomposition and Identification of Linear Structural Equation Models
Bryant Chen
52
7
0
07 Aug 2015
External Validity: From Do-Calculus to Transportability Across Populations
Judea Pearl
Elias Bareinboim
82
333
0
05 Mar 2015
A factorization criterion for acyclic directed mixed graphs
Thomas S. Richardson
84
46
0
26 Jun 2014
Parameter identifiability of discrete Bayesian networks with hidden variables
E. Allman
J. Rhodes
E. Stanghellini
Marco Valtorta
174
13
0
02 Jun 2014
Statistical Causality from a Decision-Theoretic Perspective
A. Philip Dawid
CML
78
73
0
09 May 2014
Estimating complex causal effects from incomplete observational data
Juha Karvanen
SyDa
CML
51
0
0
05 Mar 2014
A General Algorithm for Deciding Transportability of Experimental Results
Elias Bareinboim
Judea Pearl
OT
109
205
0
29 Dec 2013
Causal Transportability of Experiments on Controllable Subsets of Variables: z-Transportability
Sanghack Lee
Vasant Honavar
32
10
0
26 Sep 2013
An Information Theoretic Measure of Judea Pearl's Identifiability and Causal Influence
Robert R. Tucci
52
2
0
21 Jul 2013
Markovian acyclic directed mixed graphs for discrete data
R. Evans
Thomas S. Richardson
145
56
0
28 Jan 2013
Study design in causal models
Juha Karvanen
CML
86
33
0
13 Nov 2012
The Do-Calculus Revisited
Judea Pearl
CML
164
167
0
16 Oct 2012
On Identifying Total Effects in the Presence of Latent Variables and Selection bias
Zhihong Cai
Manabu Kuroki
CML
113
47
0
13 Jun 2012
Counterfactual Graphical Models for Longitudinal Mediation Analysis with Unobserved Confounding
I. Shpitser
AI4CE
117
107
0
01 May 2012
On the Validity of Covariate Adjustment for Estimating Causal Effects
I. Shpitser
T. VanderWeele
J. M. Robins
CML
104
208
0
15 Mar 2012
Maximum likelihood fitting of acyclic directed mixed graphs to binary data
R. Evans
Thomas S. Richardson
110
25
0
15 Mar 2012
An Efficient Algorithm for Computing Interventional Distributions in Latent Variable Causal Models
I. Shpitser
Thomas S. Richardson
J. M. Robins
CML
TPM
104
22
0
14 Feb 2012
Counterfactual analyses with graphical models based on local independence
K. Røysland
CML
127
29
0
06 Jun 2011
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