Using Bayesian Network for Monetary Structure and Supply Researching

DOI

10.2991/icesame-16.2016.117How to use a DOI?

Keywords

Monetary Supply; Monetary Structure; Bayesian Network

Abstract

In this paper, we use Bayesian network structure learning methods, 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 supplement.

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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TY  - CONF
AU  - Xu Zhang
AU  - Ruihai Zhu
AU  - Jun Luo
PY  - 2016/03
DA  - 2016/03
TI  - Using Bayesian Network for Monetary Structure and Supply Researching
BT  - Proceedings of the 2016 International Conference on Education, Sports, Arts and Management Engineering
PB  - Atlantis Press
SP  - 551
EP  - 555
SN  - 2352-5398
UR  - https://doi.org/10.2991/icesame-16.2016.117
DO  - 10.2991/icesame-16.2016.117
ID  - Zhang2016/03
ER  -