Proceedings of the 2018 4th Annual International Conference on Modern Education and Social Science (MESS 2018)

The Application of logistic model on Study the Influence Factors of Migrants’ Happiness Based on Group Lasso

Authors
Hai-Xia ZHAO, Hong-Bo SHI
Corresponding Author
Hai-Xia ZHAO
Available Online April 2018.
DOI
10.2991/mess-18.2018.10How to use a DOI?
Keywords
Group Lasso-logistic model, variable selection, migrants.
Abstract

Migrants has made a great contribution in the process of urban development, carrying out in-depth research about the influence factors of migrants happiness is of great significance to promote the harmonious development of society. In this paper, based on CHIP2013 data about Migrants, Group Lasso-logistic model was used for variable selection and analyzing, and compared with the methods of full logistic model, forward and backward selection logistic model. The result shows that the Group Lasso-logistic model not only provides the effective sparse results, but the generalization ability is optimal.

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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Volume Title
Proceedings of the 2018 4th Annual International Conference on Modern Education and Social Science (MESS 2018)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
April 2018
ISBN
10.2991/mess-18.2018.10
ISSN
2352-5398
DOI
10.2991/mess-18.2018.10How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Hai-Xia ZHAO
AU  - Hong-Bo SHI
PY  - 2018/04
DA  - 2018/04
TI  - The Application of logistic model on Study the Influence Factors of Migrants’ Happiness Based on Group Lasso
BT  - Proceedings of the 2018 4th Annual International Conference on Modern Education and Social Science (MESS 2018)
PB  - Atlantis Press
SP  - 61
EP  - 68
SN  - 2352-5398
UR  - https://doi.org/10.2991/mess-18.2018.10
DO  - 10.2991/mess-18.2018.10
ID  - ZHAO2018/04
ER  -