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International Conference on Software Technology and Engineering (ICSTE 2012)

ASME Press Select Proceedings

International Conference on Software Technology and Engineering (ICSTE 2012)

Editor

ISBN:

9780791860151

No. of Pages:

680

DOI:

https://doi.org/10.1115/1.860151

Publisher:

ASME Press

Publication date:

2012

eBook Chapter

11 Discovering Causal Relations from Cross-Sectional Data

By

Yang Jing

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,

Wang Aiguo

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,

Wang Kunxia

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,

Li Lian

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,

Pan Xiang

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Doi:

https://doi.org/10.1115/1.860151_ch11

Page Count:

6

Published:

2012

This study is to verify that the Bayesian Network can be used for discovering causal relations from cross-sectional data. Using the PCB, L1MB, and TC algorithm, this study analyzes causal relations in the real data from the National Health and Nutrition Examination Survey. Experimental results show that these algorithms can discover causal relations to various degrees.

1. Introduction

2. Experimental Results

3. Summaries

Acknowledgment

References

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