ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1206.6853
  4. Cited By
A theoretical study of Y structures for causal discovery

A theoretical study of Y structures for causal discovery

27 June 2012
S. Mani
Peter Spirtes
G. Cooper
    CML
ArXiv (abs)PDFHTML

Papers citing "A theoretical study of Y structures for causal discovery"

6 / 6 papers shown
Title
Causal Discovery for Fairness
Causal Discovery for Fairness
Ruta Binkyt.e-Sadauskien.e
K. Makhlouf
Carlos Pinzón
Sami Zhioua
C. Palamidessi
CML
78
18
0
14 Jun 2022
A Local Method for Identifying Causal Relations under Markov Equivalence
A Local Method for Identifying Causal Relations under Markov Equivalence
Zhuangyan Fang
Yue Liu
Z. Geng
Shengyu Zhu
Yangbo He
CML
61
13
0
25 Feb 2021
A Critique on the Interventional Detection of Causal Relationships
A Critique on the Interventional Detection of Causal Relationships
Mehrzad Saremi
CML
31
0
0
26 Mar 2020
A Bayesian Approach for Inferring Local Causal Structure in Gene
  Regulatory Networks
A Bayesian Approach for Inferring Local Causal Structure in Gene Regulatory Networks
I. G. Bucur
T. V. Bussel
Tom Claassen
Tom Heskes
CML
18
1
0
18 Sep 2018
A Logical Characterization of Constraint-Based Causal Discovery
A Logical Characterization of Constraint-Based Causal Discovery
Tom Claassen
Tom Heskes
CML
131
39
0
14 Feb 2012
Discovering causal structures in binary exclusive-or skew acyclic models
Discovering causal structures in binary exclusive-or skew acyclic models
Takanori Inazumi
Takashi Washio
Shohei Shimizu
J. Suzuki
Akihiro Yamamoto
Yoshinobu Kawahara
SyDaCML
62
6
0
14 Feb 2012
1