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Pearl's Calculus of Intervention Is Complete

Pearl's Calculus of Intervention Is Complete

27 June 2012
Yimin Huang
Marco Valtorta
    CML
ArXiv (abs)PDFHTML

Papers citing "Pearl's Calculus of Intervention Is Complete"

32 / 82 papers shown
Title
Probabilistic Reasoning across the Causal Hierarchy
Probabilistic Reasoning across the Causal Hierarchy
D. Ibeling
Thomas Icard
LRMAI4CE
57
31
0
09 Jan 2020
Identifying causal effects in maximally oriented partially directed
  acyclic graphs
Identifying causal effects in maximally oriented partially directed acyclic graphs
Emilija Perković
CML
69
39
0
07 Oct 2019
Info Intervention
Info Intervention
Heyang Gong
Zhu Ke
CML
38
0
0
24 Jul 2019
Identification In Missing Data Models Represented By Directed Acyclic
  Graphs
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
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
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
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
Causal Inference by String Diagram Surgery
B. Jacobs
A. Kissinger
Fabio Zanasi
CML
99
59
0
20 Nov 2018
Surrogate Outcomes and Transportability
Surrogate Outcomes and Transportability
Santtu Tikka
Juha Karvanen
CML
44
5
0
19 Jun 2018
Enhancing Identification of Causal Effects by Pruning
Enhancing Identification of Causal Effects by Pruning
Santtu Tikka
Juha Karvanen
CML
55
14
0
19 Jun 2018
Simplifying Probabilistic Expressions in Causal Inference
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
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
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
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
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
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
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
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
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
Estimating complex causal effects from incomplete observational data
Juha Karvanen
SyDaCML
51
0
0
05 Mar 2014
A General Algorithm for Deciding Transportability of Experimental
  Results
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
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
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
Markovian acyclic directed mixed graphs for discrete data
R. Evans
Thomas S. Richardson
145
56
0
28 Jan 2013
Study design in causal models
Study design in causal models
Juha Karvanen
CML
86
33
0
13 Nov 2012
The Do-Calculus Revisited
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
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
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
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
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
An Efficient Algorithm for Computing Interventional Distributions in Latent Variable Causal Models
I. Shpitser
Thomas S. Richardson
J. M. Robins
CMLTPM
104
22
0
14 Feb 2012
Counterfactual analyses with graphical models based on local
  independence
Counterfactual analyses with graphical models based on local independence
K. Røysland
CML
127
29
0
06 Jun 2011
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