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Quantifier Elimination for Statistical Problems

Quantifier Elimination for Statistical Problems

23 January 2013
D. Geiger
Christopher Meek
ArXiv (abs)PDFHTML

Papers citing "Quantifier Elimination for Statistical Problems"

15 / 15 papers shown
Title
Testing Causal Models with Hidden Variables in Polynomial Delay via Conditional Independencies
Testing Causal Models with Hidden Variables in Polynomial Delay via Conditional Independencies
H. Jeong
Adiba Ejaz
Jin Tian
Elias Bareinboim
58
2
0
22 Sep 2024
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
Restricted Hidden Cardinality Constraints in Causal Models
Restricted Hidden Cardinality Constraints in Causal Models
Beata Zjawin
Elie Wolfe
Robert W. Spekkens
CML
151
3
0
13 Sep 2021
Entropic Inequality Constraints from $e$-separation Relations in
  Directed Acyclic Graphs with Hidden Variables
Entropic Inequality Constraints from eee-separation Relations in Directed Acyclic Graphs with Hidden Variables
N. Finkelstein
Beata Zjawin
Elie Wolfe
I. Shpitser
Robert W. Spekkens
CML
63
3
0
15 Jul 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
Machine learning non-local correlations
Machine learning non-local correlations
A. Canabarro
S. Brito
Rafael Chaves
59
50
0
21 Aug 2018
The Inflation Technique Completely Solves the Causal Compatibility
  Problem
The Inflation Technique Completely Solves the Causal Compatibility Problem
M. Navascués
Elie Wolfe
71
35
0
20 Jul 2017
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
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
72
39
0
12 Jun 2015
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
On the Testable Implications of Causal Models with Hidden Variables
On the Testable Implications of Causal Models with Hidden Variables
Jin Tian
Judea Pearl
CML
101
176
0
12 Dec 2012
Inequality Constraints in Causal Models with Hidden Variables
Inequality Constraints in Causal Models with Hidden Variables
Changsung Kang
Jin Tian
83
33
0
27 Jun 2012
Polynomial Constraints in Causal Bayesian Networks
Polynomial Constraints in Causal Bayesian Networks
Changsung Kang
Jin Tian
TPM
105
12
0
20 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
Identifying Causal Effects with Computer Algebra
Identifying Causal Effects with Computer Algebra
L. Garcia
Sarah Spielvogel
S. Sullivant
CML
158
39
0
22 Jul 2010
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