A Bayesian Model about Relationship between Weather and Sales of Medicine for Cold

DOI

10.2991/ammsa-18.2018.47How to use a DOI?

Keywords

Bayesian network; probabilistic prediction; BDE score function

Abstract

Weather factors affecting the oscillation of the sales of cold medicine, may be various, uncertain and intermittent. A Bayesian model is built in this paper, to analyze the relationship between the weather factors and the sales of cold medicine, and BDE(Bayesian Dirichlet equivalent) score function is applied for learning Bayesian network structure so that the predominant weather factors could be identified. Some evaluation indicators are used to evaluate a reliable predictive model. Numerical examples confirm the feasibility and the reliability of the derived Bayesian model.

Copyright

© 2018, 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  - Ying Yu
AU  - Wenwen Yang
AU  - Zheng Yang
AU  - Jianye Lu
PY  - 2018/05
DA  - 2018/05
TI  - A Bayesian Model about Relationship between Weather and Sales of Medicine for Cold
BT  - Proceedings of the 2018 2nd International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2018)
PB  - Atlantis Press
SP  - 232
EP  - 235
SN  - 1951-6851
UR  - https://doi.org/10.2991/ammsa-18.2018.47
DO  - 10.2991/ammsa-18.2018.47
ID  - Yu2018/05
ER  -