AIC and BIC
Publication type: Journal Article
Publication date: 2004-11-11
scimago Q1
wos Q1
SJR: 4.064
CiteScore: 18.6
Impact factor: 6.5
ISSN: 00491241, 15528294
Sociology and Political Science
Social Sciences (miscellaneous)
Abstract
The two most commonly used penalized model selection criteria, the Bayesian information criterion (BIC) and Akaike’s information criterion (AIC), are examined and compared. Their motivations as approximations of two different target quantities are discussed, and their performance in estimating those quantities is assessed. Despite their different foundations, some similarities between the two statistics can be observed, for example, in analogous interpretations of their penalty terms. The behavior of the criteria in selecting good models for observed data is examined with simulated data and also illustrated with the analysis of two well-known data sets on social mobility. It is argued that useful information for model selection can be obtained from using AIC and BIC together, particularly from trying as far as possible to find models favored by both criteria.
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Metrics
666
Total citations:
666
Citations from 2024:
133
(19.97%)
Cite this
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MLA
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RIS
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TY - JOUR
DO - 10.1177/0049124103262065
UR - https://doi.org/10.1177/0049124103262065
TI - AIC and BIC
T2 - Sociological Methods and Research
AU - Kuha, Jouni
PY - 2004
DA - 2004/11/11
PB - SAGE
SP - 188-229
IS - 2
VL - 33
SN - 0049-1241
SN - 1552-8294
ER -
Cite this
BibTex (up to 50 authors)
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@article{2004_Kuha,
author = {Jouni Kuha},
title = {AIC and BIC},
journal = {Sociological Methods and Research},
year = {2004},
volume = {33},
publisher = {SAGE},
month = {nov},
url = {https://doi.org/10.1177/0049124103262065},
number = {2},
pages = {188--229},
doi = {10.1177/0049124103262065}
}
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MLA
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Kuha, Jouni. “AIC and BIC.” Sociological Methods and Research, vol. 33, no. 2, Nov. 2004, pp. 188-229. https://doi.org/10.1177/0049124103262065.