The DOI matches its Crossref record.
Power spectrum estimation through autoregressive model fitting
Overview
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Citations
Cited by
Heart rate variability: are you using it properly? Standardisation checklist of procedures
Catai, A. M., Pastre, C. M., Godoy, M. F. D., Silva, E. D., Takahashi, A. C. D. M., & Vanderlei, L. C. M. (2020) · Brazilian Journal of Physical Therapy · doi:10.1016/j.bjpt.2019.02.006 · Cited by 423
Introduction to Heart Rate Variability
Hayano, J. (2017) · Clinical Assessment of the Autonomic Nervous System · doi:10.1007/978-4-431-56012-8_7 · Cited by 20
Metadata
- Authors
- Akaike, H.
- Venue
- Annals of the Institute of Statistical Mathematics
- Published
- 1969-12
- Volume
- 21
- Issue
- 1
- Pages
- 407-419
- ISSN
- 0020-3157 (ISSN-L)
- 1572-9052
- OpenAlex
- W2070425988
- Cited by
- 394
- References
- 0
- FWCI
- 2.18
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Power spectrum estimation through autoregressive model fitting. https://app.cochat.ai/papers/10.1007/bf02532269
- The paper
- Akaike, H. (1969). Power spectrum estimation through autoregressive model fitting. Annals of the Institute of Statistical Mathematics. https://doi.org/10.1007/bf02532269
Data sources
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.
