FOM: Fourth-order moment based causal direction identification on the heteroscedastic data-Reference-Cited by-同舟云学术

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FOM: Fourth-order moment based causal direction identification on the heteroscedastic data

Published:2020-04 Issue: Volume:124 Page:193-201
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Cai Ruichu^ORCID,Ye Jincheng,Qiao Jie,Fu Huiyuan^ORCID,Hao Zhifeng

Funder

NSFC-Guangdong Joint Found

Natural Science Foundation of China

Natural Science Foundation of Guangdong

Science and Technology Planning Project of Guangdong

Guangdong High-level Personnel of Special Support Program

Science and Technology Planning Project of Guangzhou

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference27 articles.

1. Analysis of cause-effect inference by comparing regression errors;Blöbaum;PeerJ Computer Science,2019

2. MDL for causal inference on discrete data;Budhathoki,2017

3. Causal discovery from discrete data using hidden compact representation;Cai,2018

4. Financial education and savings behavior: Evidence from a randomized experiment among low-income clients of branchless banking in India;Calderone;Economic Development and Cultural Change,2018

5. Learning high-dimensional directed acyclic graphs with latent and selection variables;Colombo;The Annals of Statistics,2012

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