Akaike information criterion (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Akaike information criterion" in English language version.

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mathscinet.ams.org

Akaike 1974 Akaike, H. (1974), "A new look at the statistical model identification", IEEE Transactions on Automatic Control, 19 (6): 716–723, Bibcode:1974ITAC...19..716A, doi:10.1109/TAC.1974.1100705, MR 0423716.

arxiv.org

Matsuda, Takeru; Uehara, Masatoshi; Hyvarinen, Aapo (2021). "Information criteria for non-normalized models". Journal of Machine Learning Research. 22 (158): 1–33. arXiv:1905.05976. ISSN 1533-7928.
Ding, Jie; Tarokh, Vahid; Yang, Yuhong (November 2018). "Model Selection Techniques: An Overview". IEEE Signal Processing Magazine. 35 (6): 16–34. arXiv:1810.09583. Bibcode:2018ISPM...35f..16D. doi:10.1109/MSP.2018.2867638. ISSN 1053-5888. S2CID 53035396.
Ding, J.; Tarokh, V.; Yang, Y. (June 2018). "Bridging AIC and BIC: A New Criterion for Autoregression". IEEE Transactions on Information Theory. 64 (6): 4024–4043. arXiv:1508.02473. doi:10.1109/TIT.2017.2717599. ISSN 1557-9654. S2CID 5189440.
Ding, Jie; Tarokh, Vahid; Yang, Yuhong (2018-11-14). "Model Selection Techniques: An Overview". IEEE Signal Processing Magazine. 35 (6): 16–34. arXiv:1810.09583. Bibcode:2018ISPM...35f..16D. doi:10.1109/MSP.2018.2867638. S2CID 53035396. Retrieved 2023-02-18.

books.google.com

McElreath, Richard (2016). Statistical Rethinking: A Bayesian Course with Examples in R and Stan. CRC Press. p. 189. ISBN 978-1-4822-5344-3. AIC provides a surprisingly simple estimate of the average out-of-sample deviance.
Taddy, Matt (2019). Business Data Science: Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions. New York: McGraw-Hill. p. 90. ISBN 978-1-260-45277-8. The AIC is an estimate for OOS deviance.

caltech.edu

resolver.caltech.edu

Ding, Jie; Tarokh, Vahid; Yang, Yuhong (November 2018). "Model Selection Techniques: An Overview". IEEE Signal Processing Magazine. 35 (6): 16–34. arXiv:1810.09583. Bibcode:2018ISPM...35f..16D. doi:10.1109/MSP.2018.2867638. ISSN 1053-5888. S2CID 53035396.

doi.org

Stoica, P.; Selen, Y. (2004), "Model-order selection: a review of information criterion rules", IEEE Signal Processing Magazine (July): 36–47, doi:10.1109/MSP.2004.1311138, S2CID 17338979
Akaike 1974 Akaike, H. (1974), "A new look at the statistical model identification", IEEE Transactions on Automatic Control, 19 (6): 716–723, Bibcode:1974ITAC...19..716A, doi:10.1109/TAC.1974.1100705, MR 0423716.
Murtaugh 2014 Murtaugh, P. A. (2014), "In defense of P values", Ecology, 95 (3): 611–617, Bibcode:2014Ecol...95..611M, doi:10.1890/13-0590.1, PMID 24804441.
Sugiura (1978) Sugiura, N. (1978), "Further analysis of the data by Akaike's information criterion and the finite corrections", Communications in Statistics - Theory and Methods, 7: 13–26, doi:10.1080/03610927808827599.
Hurvich & Tsai (1989) Hurvich, C. M.; Tsai, C.-L. (1989), "Regression and time series model selection in small samples", Biometrika, 76 (2): 297–307, doi:10.1093/biomet/76.2.297.
Cavanaugh 1997 Cavanaugh, J. E. (1997), "Unifying the derivations of the Akaike and corrected Akaike information criteria", Statistics & Probability Letters, 31 (2): 201–208, doi:10.1016/s0167-7152(96)00128-9.
Burnham & Anderson 2004 Burnham, K. P.; Anderson, D. R. (2004), "Multimodel inference: understanding AIC and BIC in Model Selection" (PDF), Sociological Methods & Research, 33: 261–304, doi:10.1177/0049124104268644, S2CID 121861644.
Findley & Parzen 1995 Findley, D. F.; Parzen, E. (1995), "A conversation with Hirotugu Akaike", Statistical Science, 10: 104–117, doi:10.1214/ss/1177010133.
Takeuchi, Kei (2020), Takeuchi, Kei (ed.), "On the Problem of Model Selection Based on the Data", Contributions on Theory of Mathematical Statistics, Tokyo: Springer Japan, pp. 329–356, doi:10.1007/978-4-431-55239-0_12, ISBN 978-4-431-55239-0, retrieved 2024-02-02
Ding, Jie; Tarokh, Vahid; Yang, Yuhong (November 2018). "Model Selection Techniques: An Overview". IEEE Signal Processing Magazine. 35 (6): 16–34. arXiv:1810.09583. Bibcode:2018ISPM...35f..16D. doi:10.1109/MSP.2018.2867638. ISSN 1053-5888. S2CID 53035396.
Ding, J.; Tarokh, V.; Yang, Y. (June 2018). "Bridging AIC and BIC: A New Criterion for Autoregression". IEEE Transactions on Information Theory. 64 (6): 4024–4043. arXiv:1508.02473. doi:10.1109/TIT.2017.2717599. ISSN 1557-9654. S2CID 5189440.
Ding, Jie; Tarokh, Vahid; Yang, Yuhong (2018-11-14). "Model Selection Techniques: An Overview". IEEE Signal Processing Magazine. 35 (6): 16–34. arXiv:1810.09583. Bibcode:2018ISPM...35f..16D. doi:10.1109/MSP.2018.2867638. S2CID 53035396. Retrieved 2023-02-18.
Vrieze 2012 Vrieze, S. I. (2012), "Model selection and psychological theory: a discussion of the differences between the Akaike Information Criterion (AIC) and the Bayesian Information Criterion (BIC)", Psychological Methods, 17 (2): 228–243, doi:10.1037/a0027127, PMC 3366160, PMID 22309957.
Aho, Derryberry & Peterson 2014 Aho, K.; Derryberry, D.; Peterson, T. (2014), "Model selection for ecologists: the worldviews of AIC and BIC", Ecology, 95 (3): 631–636, Bibcode:2014Ecol...95..631A, doi:10.1890/13-1452.1, PMID 24804445.
Stone 1977 Stone, M. (1977), "An asymptotic equivalence of choice of model by cross-validation and Akaike's criterion", Journal of the Royal Statistical Society, Series B, 39 (1): 44–47, doi:10.1111/j.2517-6161.1977.tb01603.x, JSTOR 2984877.
Boisbunon et al. 2014 Boisbunon, A.; Canu, S.; Fourdrinier, D.; Strawderman, W.; Wells, M. T. (2014), "Akaike's Information Criterion, C_p and estimators of loss for elliptically symmetric distributions", International Statistical Review, 82 (3): 422–439, doi:10.1111/insr.12052, S2CID 119926327.

harvard.edu

ui.adsabs.harvard.edu

Akaike 1974 Akaike, H. (1974), "A new look at the statistical model identification", IEEE Transactions on Automatic Control, 19 (6): 716–723, Bibcode:1974ITAC...19..716A, doi:10.1109/TAC.1974.1100705, MR 0423716.
Murtaugh 2014 Murtaugh, P. A. (2014), "In defense of P values", Ecology, 95 (3): 611–617, Bibcode:2014Ecol...95..611M, doi:10.1890/13-0590.1, PMID 24804441.
Ding, Jie; Tarokh, Vahid; Yang, Yuhong (November 2018). "Model Selection Techniques: An Overview". IEEE Signal Processing Magazine. 35 (6): 16–34. arXiv:1810.09583. Bibcode:2018ISPM...35f..16D. doi:10.1109/MSP.2018.2867638. ISSN 1053-5888. S2CID 53035396.
Ding, Jie; Tarokh, Vahid; Yang, Yuhong (2018-11-14). "Model Selection Techniques: An Overview". IEEE Signal Processing Magazine. 35 (6): 16–34. arXiv:1810.09583. Bibcode:2018ISPM...35f..16D. doi:10.1109/MSP.2018.2867638. S2CID 53035396. Retrieved 2023-02-18.
Aho, Derryberry & Peterson 2014 Aho, K.; Derryberry, D.; Peterson, T. (2014), "Model selection for ecologists: the worldviews of AIC and BIC", Ecology, 95 (3): 631–636, Bibcode:2014Ecol...95..631A, doi:10.1890/13-1452.1, PMID 24804445.

ieee.org

ieeexplore.ieee.org

Akaike 1974 Akaike, H. (1974), "A new look at the statistical model identification", IEEE Transactions on Automatic Control, 19 (6): 716–723, Bibcode:1974ITAC...19..716A, doi:10.1109/TAC.1974.1100705, MR 0423716.
Ding, J.; Tarokh, V.; Yang, Y. (June 2018). "Bridging AIC and BIC: A New Criterion for Autoregression". IEEE Transactions on Information Theory. 64 (6): 4024–4043. arXiv:1508.02473. doi:10.1109/TIT.2017.2717599. ISSN 1557-9654. S2CID 5189440.
Ding, Jie; Tarokh, Vahid; Yang, Yuhong (2018-11-14). "Model Selection Techniques: An Overview". IEEE Signal Processing Magazine. 35 (6): 16–34. arXiv:1810.09583. Bibcode:2018ISPM...35f..16D. doi:10.1109/MSP.2018.2867638. S2CID 53035396. Retrieved 2023-02-18.

jds-online.com

Fang 2011 Fang, Yixin (2011), "Asymptotic equivalence between cross-validations and Akaike Information Criteria in mixed-effects models" (PDF), Journal of Data Science, 9: 15–21, archived from the original (PDF) on 2016-03-04, retrieved 2011-04-16.

jmlr.org

Matsuda, Takeru; Uehara, Masatoshi; Hyvarinen, Aapo (2021). "Information criteria for non-normalized models". Journal of Machine Learning Research. 22 (158): 1–33. arXiv:1905.05976. ISSN 1533-7928.

jstor.org

Stone 1977 Stone, M. (1977), "An asymptotic equivalence of choice of model by cross-validation and Akaike's criterion", Journal of the Royal Statistical Society, Series B, 39 (1): 44–47, doi:10.1111/j.2517-6161.1977.tb01603.x, JSTOR 2984877.

nih.gov

pubmed.ncbi.nlm.nih.gov

Murtaugh 2014 Murtaugh, P. A. (2014), "In defense of P values", Ecology, 95 (3): 611–617, Bibcode:2014Ecol...95..611M, doi:10.1890/13-0590.1, PMID 24804441.
Vrieze 2012 Vrieze, S. I. (2012), "Model selection and psychological theory: a discussion of the differences between the Akaike Information Criterion (AIC) and the Bayesian Information Criterion (BIC)", Psychological Methods, 17 (2): 228–243, doi:10.1037/a0027127, PMC 3366160, PMID 22309957.
Aho, Derryberry & Peterson 2014 Aho, K.; Derryberry, D.; Peterson, T. (2014), "Model selection for ecologists: the worldviews of AIC and BIC", Ecology, 95 (3): 631–636, Bibcode:2014Ecol...95..631A, doi:10.1890/13-1452.1, PMID 24804445.

ncbi.nlm.nih.gov

Vrieze 2012 Vrieze, S. I. (2012), "Model selection and psychological theory: a discussion of the differences between the Akaike Information Criterion (AIC) and the Bayesian Information Criterion (BIC)", Psychological Methods, 17 (2): 228–243, doi:10.1037/a0027127, PMC 3366160, PMID 22309957.

semanticscholar.org

api.semanticscholar.org

Stoica, P.; Selen, Y. (2004), "Model-order selection: a review of information criterion rules", IEEE Signal Processing Magazine (July): 36–47, doi:10.1109/MSP.2004.1311138, S2CID 17338979
Burnham & Anderson 2004 Burnham, K. P.; Anderson, D. R. (2004), "Multimodel inference: understanding AIC and BIC in Model Selection" (PDF), Sociological Methods & Research, 33: 261–304, doi:10.1177/0049124104268644, S2CID 121861644.
Ding, Jie; Tarokh, Vahid; Yang, Yuhong (November 2018). "Model Selection Techniques: An Overview". IEEE Signal Processing Magazine. 35 (6): 16–34. arXiv:1810.09583. Bibcode:2018ISPM...35f..16D. doi:10.1109/MSP.2018.2867638. ISSN 1053-5888. S2CID 53035396.
Ding, J.; Tarokh, V.; Yang, Y. (June 2018). "Bridging AIC and BIC: A New Criterion for Autoregression". IEEE Transactions on Information Theory. 64 (6): 4024–4043. arXiv:1508.02473. doi:10.1109/TIT.2017.2717599. ISSN 1557-9654. S2CID 5189440.
Ding, Jie; Tarokh, Vahid; Yang, Yuhong (2018-11-14). "Model Selection Techniques: An Overview". IEEE Signal Processing Magazine. 35 (6): 16–34. arXiv:1810.09583. Bibcode:2018ISPM...35f..16D. doi:10.1109/MSP.2018.2867638. S2CID 53035396. Retrieved 2023-02-18.
Boisbunon et al. 2014 Boisbunon, A.; Canu, S.; Fourdrinier, D.; Strawderman, W.; Wells, M. T. (2014), "Akaike's Information Criterion, C_p and estimators of loss for elliptically symmetric distributions", International Statistical Review, 82 (3): 422–439, doi:10.1111/insr.12052, S2CID 119926327.

sortie-nd.org

Burnham & Anderson 2004 Burnham, K. P.; Anderson, D. R. (2004), "Multimodel inference: understanding AIC and BIC in Model Selection" (PDF), Sociological Methods & Research, 33: 261–304, doi:10.1177/0049124104268644, S2CID 121861644.

ucla.edu

gifi.stat.ucla.edu

deLeeuw 1992 deLeeuw, J. (1992), "Introduction to Akaike (1973) information theory and an extension of the maximum likelihood principle" (PDF), in Kotz, S.; Johnson, N. L. (eds.), Breakthroughs in Statistics I, Springer, pp. 599–609, archived from the original (PDF) on 2016-01-08, retrieved 2014-11-27.

web.archive.org

deLeeuw 1992 deLeeuw, J. (1992), "Introduction to Akaike (1973) information theory and an extension of the maximum likelihood principle" (PDF), in Kotz, S.; Johnson, N. L. (eds.), Breakthroughs in Statistics I, Springer, pp. 599–609, archived from the original (PDF) on 2016-01-08, retrieved 2014-11-27.
Fang 2011 Fang, Yixin (2011), "Asymptotic equivalence between cross-validations and Akaike Information Criteria in mixed-effects models" (PDF), Journal of Data Science, 9: 15–21, archived from the original (PDF) on 2016-03-04, retrieved 2011-04-16.

worldcat.org

search.worldcat.org

Matsuda, Takeru; Uehara, Masatoshi; Hyvarinen, Aapo (2021). "Information criteria for non-normalized models". Journal of Machine Learning Research. 22 (158): 1–33. arXiv:1905.05976. ISSN 1533-7928.
Ding, Jie; Tarokh, Vahid; Yang, Yuhong (November 2018). "Model Selection Techniques: An Overview". IEEE Signal Processing Magazine. 35 (6): 16–34. arXiv:1810.09583. Bibcode:2018ISPM...35f..16D. doi:10.1109/MSP.2018.2867638. ISSN 1053-5888. S2CID 53035396.
Ding, J.; Tarokh, V.; Yang, Y. (June 2018). "Bridging AIC and BIC: A New Criterion for Autoregression". IEEE Transactions on Information Theory. 64 (6): 4024–4043. arXiv:1508.02473. doi:10.1109/TIT.2017.2717599. ISSN 1557-9654. S2CID 5189440.

zenodo.org

Murtaugh 2014 Murtaugh, P. A. (2014), "In defense of P values", Ecology, 95 (3): 611–617, Bibcode:2014Ecol...95..611M, doi:10.1890/13-0590.1, PMID 24804441.