The DOI matches its Crossref record.
Some recent advances in time series modeling
Abstract
The aim of this paper is to describe some of the important concepts and techniques which seem to help provide a solution of the stationary time series problem (prediction and model identification). Section I reviews models. Section II reviews prediction theory and develops criteria of closeness of a "fitted" model to a "true" model. The central role of the infinite autoregressive transfer functiong_{\infty}is developed, and the time series modeling problem is defined to be the estimation ofg_{\infty}. Section III reviews estimation theory. Section IV describes autoregressive estimators ofg_{\infty}. It introduces a criterion for selecting the Order of an autoregressive estimator which can be regarded as determining the order of an AR scheme when in fact the time series is generated by an AR scheme of finite order.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Kass, R. E., & Raftery, A. E. (1995) · Journal of the American Statistical Association · doi:10.1080/01621459.1995.10476572 · Cited by 12,558
Spectrum analysis—A modern perspective
Kay, S. M., & Marple, S. L. (1981) · Proceedings of the IEEE · doi:10.1109/proc.1981.12184 · Cited by 3,146
The Comparative Effects of Large Carnivores on the Acquisition of Carrion by Scavengers
Allen, M. L., Elbroch, L. M., Wilmers, C. C., & Wittmer, H. U. (2015) · The American Naturalist · doi:10.1086/681004 · Cited by 174
Model adequacy and the macroevolution of angiosperm functional traits
Pennell, M. W., FitzJohn, R. G., Cornwell, W. K., & Harmon, L. J. (2015) · The American Naturalist · doi:10.1086/682022 · Cited by 165
Metadata
- Authors
- Parzen, E.
- Venue
- IEEE Transactions on Automatic Control
- Published
- 1974-12
- Volume
- 19
- Issue
- 6
- Pages
- 723-730
- ISSN
- 0018-9286 (ISSN-L)
- OpenAlex
- W2117418380
- Cited by
- 341
- References
- 0
- FWCI
- 27.60
- 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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Some recent advances in time series modeling. https://app.cochat.ai/papers/10.1109/tac.1974.1100733
- The paper
- Parzen, E. (1974). Some recent advances in time series modeling. IEEE Transactions on Automatic Control. https://doi.org/10.1109/tac.1974.1100733
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.