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Instrumentality Tests Revisited

Instrumentality Tests Revisited

10 January 2013
Blai Bonet
ArXiv (abs)PDFHTML

Papers citing "Instrumentality Tests Revisited"

22 / 22 papers shown
Title
Revisiting the Berkeley Admissions data: Statistical Tests for Causal Hypotheses
Revisiting the Berkeley Admissions data: Statistical Tests for Causal Hypotheses
Sourbh Bhadane
Joris Mooij
Philip A. Boeken
O. Zoeter
155
0
0
17 Feb 2025
The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine
  Learning
The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learning
Jake Fawkes
Nic Fishman
Mel Andrews
Zachary C. Lipton
100
1
0
12 Oct 2024
Consistency of Neural Causal Partial Identification
Consistency of Neural Causal Partial Identification
Jiyuan Tan
Jose Blanchet
Vasilis Syrgkanis
CML
109
0
0
24 May 2024
The Instrumental Variable Model with Categorical Instrument, Treatment
  and Outcome
The Instrumental Variable Model with Categorical Instrument, Treatment and Outcome
Yilin Song
K. C. G. Chan
Thomas S. Richardson
CML
20
1
0
15 May 2024
The d-separation criterion in Categorical Probability
The d-separation criterion in Categorical Probability
Tobias Fritz
Andreas Klingler
51
18
0
12 Jul 2022
Variable elimination, graph reduction and efficient g-formula
Variable elimination, graph reduction and efficient g-formula
F. R. Guo
Emilija Perković
A. Rotnitzky
CML
74
7
0
24 Feb 2022
Partial Identification with Noisy Covariates: A Robust Optimization
  Approach
Partial Identification with Noisy Covariates: A Robust Optimization Approach
Wenshuo Guo
Mingzhang Yin
Yixin Wang
Michael I. Jordan
189
19
0
22 Feb 2022
Causal inference with imperfect instrumental variables
Causal inference with imperfect instrumental variables
N. Miklin
M. Gachechiladze
George Moreno
Rafael Chaves
57
6
0
04 Nov 2021
An Automated Approach to Causal Inference in Discrete Settings
An Automated Approach to Causal Inference in Discrete Settings
Guilherme Duarte
N. Finkelstein
D. Knox
Jonathan Mummolo
I. Shpitser
96
49
0
28 Sep 2021
Partial Identifiability in Discrete Data With Measurement Error
Partial Identifiability in Discrete Data With Measurement Error
N. Finkelstein
R. Adams
Suchi Saria
I. Shpitser
83
11
0
23 Dec 2020
Quantifying causal influences in the presence of a quantum common cause
Quantifying causal influences in the presence of a quantum common cause
M. Gachechiladze
N. Miklin
Rafael Chaves
49
20
0
02 Jul 2020
Deriving Bounds and Inequality Constraints Using LogicalRelations Among
  Counterfactuals
Deriving Bounds and Inequality Constraints Using LogicalRelations Among Counterfactuals
N. Finkelstein
I. Shpitser
29
11
0
01 Jul 2020
Ivy: Instrumental Variable Synthesis for Causal Inference
Ivy: Instrumental Variable Synthesis for Causal Inference
Zhaobin Kuang
Frederic Sala
N. Sohoni
Sen Wu
A. Córdova-Palomera
Jared A. Dunnmon
J. Priest
Christopher Ré
CML
62
27
0
11 Apr 2020
A General Method for Deriving Tight Symbolic Bounds on Causal Effects
A General Method for Deriving Tight Symbolic Bounds on Causal Effects
Michael C Sachs
Gustav Jonzon
A. Sjölander
Erin E Gabriel
59
22
0
24 Mar 2020
Semidefinite tests for latent causal structures
Semidefinite tests for latent causal structures
Aditya Kela
Kai Von Prillwitz
J. Åberg
Rafael Chaves
David Gross
CML
91
19
0
03 Jan 2017
Novel Criteria to Exclude the Surrogate Paradox and Their Optimalities
Novel Criteria to Exclude the Surrogate Paradox and Their Optimalities
Yunjian Yin
Lan Liu
Z. Geng
Peng Luo
76
10
0
19 Jul 2016
Causal inference via algebraic geometry: feasibility tests for
  functional causal structures with two binary observed variables
Causal inference via algebraic geometry: feasibility tests for functional causal structures with two binary observed variables
Ciarán M. Gilligan-Lee
Robert W. Spekkens
CML
69
39
0
12 Jun 2015
Graphs for margins of Bayesian networks
Graphs for margins of Bayesian networks
R. Evans
CMLUQCV
121
92
0
08 Aug 2014
Inferring latent structures via information inequalities
Inferring latent structures via information inequalities
Rafael Chaves
L. Luft
T. O. Maciel
David Gross
Dominik Janzing
Bernhard Schölkopf
CML
149
43
0
08 Jul 2014
Graphical methods for inequality constraints in marginalized DAGs
Graphical methods for inequality constraints in marginalized DAGs
R. Evans
CML
126
42
0
13 Sep 2012
Inequality Constraints in Causal Models with Hidden Variables
Inequality Constraints in Causal Models with Hidden Variables
Changsung Kang
Jin Tian
80
33
0
27 Jun 2012
A Sequence of Relaxations Constraining Hidden Variable Models
A Sequence of Relaxations Constraining Hidden Variable Models
Greg Ver Steeg
Aram Galstyan
176
21
0
08 Jun 2011
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