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Fitting autoregressive models for prediction
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Citations
Cited by
A new look at the statistical model identification
Akaike, H. (1974) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1974.1100705 · Cited by 51,879
Self-citationAkaike, H. (1987) · Psychometrika · doi:10.1007/bf02294359 · Cited by 5,264
Self-citationAkaike, H. (1987) · Springer Series in Statistics · doi:10.1007/978-1-4612-1694-0_29 · Cited by 4,027
Self-citationInformation Theory and an Extension of the Maximum Likelihood Principle
Akaike, H. (1992) · Springer Series in Statistics · doi:10.1007/978-1-4612-0919-5_38 · Cited by 3,028
Self-citationHeart rate variability: A review
Rajendra Acharya, U., Paul Joseph, K., Kannathal, N., Lim, C. M., & Suri, J. S. (2006) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-006-0119-0 · Cited by 2,820
Accuracy of assessment of cardiac vagal tone by heart rate variability in normal subjects.
Hayano, J., Sakakibara, Y., Yamada, A., Yamada, M., Mukai, S., Fujinami, T., Yokoyama, K., Watanabe, Y., & Takata, K. (1991) · The American Journal of Cardiology · doi:10.1016/0002-9149(91)90445-q · Cited by 746
Transformer Networks for Trajectory Forecasting
Giuliari, F., Hasan, I., Cristani, M., & Galasso, F. (2021) · 2020 25th International Conference on Pattern Recognition (ICPR) · doi:10.1109/icpr48806.2021.9412190 · Cited by 572
Nexus between financial inclusion and economic growth: Evidence from the emerging Indian economy
Sharma, D. (2016) · Journal of Financial Economic Policy · doi:10.1108/jfep-01-2015-0004 · Cited by 382
A study on the optimum order of autoregressive models for heart rate variability.
Boardman, A., Schlindwein, F. S., Rocha, A. P., & Leite, A. (2002) · Physiological Measurement · doi:10.1088/0967-3334/23/2/308 · Cited by 228
Sparse identification of nonlinear dynamics for rapid model recovery
Quade, M., Abel, M., Nathan Kutz, J., & Brunton, S. L. (2018) · Chaos: An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/1.5027470 · Cited by 163
Religion and education as mediators of attitudes: A multivariate analysis
Truett, K. R., Eaves, L. J., Meyer, J. M., Heath, A. C., & Martin, N. G. (1992) · Behavior Genetics · doi:10.1007/bf01066792 · Cited by 117
Empirical tests to discern linkages between construction and other economic sectors in Singapore
Lean, C. S. (2001) · Construction Management and Economics · doi:10.1080/01446190010022686 · Cited by 99
Bjerregaard, P., & Curtis, T. (2002) · Social Science & Medicine · doi:10.1016/s0277-9536(01)00005-3 · Cited by 85
O'Gorman, R., Lantry, B. F., & Schneider, C. P. (2004) · Transactions of the American Fisheries Society · doi:10.1577/t03-016.1 · Cited by 59
Tambs, K., & Moum, T. (1993) · Journal of Affective Disorders · doi:10.1016/0165-0327(93)90006-6 · Cited by 55
Multi-modality Sensor Data Classification with Selective Attention
Zhang, X., Yao, L., Huang, C., Wang, S., Tan, M., Long, G., & Wang, C. (2018) · Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence · doi:10.24963/ijcai.2018/432 · Cited by 41
Sanctions and Russian online prices
Benchimol, J., & Palumbo, L. (2024) · Journal of Economic Behavior & Organization · doi:10.1016/j.jebo.2024.07.013 · Cited by 37
Inter-data-center network traffic prediction with elephant flows
Li, Y., Liu, H., Yang, W., Hu, D., & Xu, W. (2016) · NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium · doi:10.1109/noms.2016.7502814 · Cited by 34
Time Series Regression and Exploratory Data Analysis
Shumway, R. H., & Stoffer, D. S. (2017) · Springer Texts in Statistics · doi:10.1007/978-3-319-52452-8_2 · Cited by 13
Metadata
- Authors
- Akaike, H.
- Venue
- Annals of the Institute of Statistical Mathematics
- Published
- 1969-12
- Volume
- 21
- Issue
- 1
- Pages
- 243-247
- ISSN
- 0020-3157 (ISSN-L)
- 1572-9052
- OpenAlex
- W4242688646
- Cited by
- 2,471
- References
- 0
- FWCI
- 2.21
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
