Proceedings of the 2016 2nd International Conference on Education Technology, Management and Humanities Science

Using Bayesian Network for Monetary Structure and Supply Researching

Authors
Xu Zhang, Ruihai Zhu, Luo Jun Luo Jun
Corresponding Author
Xu Zhang
Available Online January 2016.
DOI
10.2991/etmhs-16.2016.130How to use a DOI?
Keywords
Monetary Supply; Monetary Structure; Bayesian Network
Abstract

In this paper, we use Bayesian network structure learning method, K2 and MCMC, to build a monetary network and for making the data more visible we also use Gephi to draw the net. In the end, we get 174 nodes and 1443 lines about the macroeconomic targets and find the main factors has influence on monetary structure and flowing amount.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 2nd International Conference on Education Technology, Management and Humanities Science
Series
Advances in Social Science, Education and Humanities Research
Publication Date
January 2016
ISBN
10.2991/etmhs-16.2016.130
ISSN
2352-5398
DOI
10.2991/etmhs-16.2016.130How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xu Zhang
AU  - Ruihai Zhu
AU  - Luo Jun Luo Jun
PY  - 2016/01
DA  - 2016/01
TI  - Using Bayesian Network for Monetary Structure and Supply Researching
BT  - Proceedings of the 2016 2nd International Conference on Education Technology, Management and Humanities Science
PB  - Atlantis Press
SP  - 582
EP  - 585
SN  - 2352-5398
UR  - https://doi.org/10.2991/etmhs-16.2016.130
DO  - 10.2991/etmhs-16.2016.130
ID  - Zhang2016/01
ER  -