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An Efficient Algorithm for Computing Interventional Distributions in
  Latent Variable Causal Models

An Efficient Algorithm for Computing Interventional Distributions in Latent Variable Causal Models

14 February 2012
I. Shpitser
Thomas S. Richardson
J. M. Robins
    CMLTPM
ArXiv (abs)PDFHTML

Papers citing "An Efficient Algorithm for Computing Interventional Distributions in Latent Variable Causal Models"

7 / 7 papers shown
Title
Estimating Causal Effects from Learned Causal Networks
Estimating Causal Effects from Learned Causal Networks
Anna K. Raichev
Alexander Ihler
Jin Tian
Rina Dechter
CML
78
3
0
26 Aug 2024
Path Dependent Structural Equation Models
Path Dependent Structural Equation Models
R. Srinivasan
Jaron J. R. Lee
Rohit Bhattacharya
Narges Ahmidi
I. Shpitser
CML
63
4
0
24 Aug 2020
Estimation of causal effects with small data in the presence of trapdoor
  variables
Estimation of causal effects with small data in the presence of trapdoor variables
Jouni Helske
Santtu Tikka
Juha Karvanen
CML
39
9
0
06 Mar 2020
Simplifying Probabilistic Expressions in Causal Inference
Simplifying Probabilistic Expressions in Causal Inference
Santtu Tikka
Juha Karvanen
CML
62
13
0
19 Jun 2018
Sparse Nested Markov models with Log-linear Parameters
Sparse Nested Markov models with Log-linear Parameters
I. Shpitser
R. Evans
Thomas S. Richardson
J. M. Robins
CML
90
11
0
26 Sep 2013
Parameter and Structure Learning in Nested Markov Models
Parameter and Structure Learning in Nested Markov Models
I. Shpitser
Thomas S. Richardson
J. M. Robins
R. Evans
CML
108
22
0
20 Jul 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
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