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Foresight is a peer-reviewed journal published by Elsevier, covering Forecasting Techniques and Applications, Big Data and Business Intelligence, Monetary Policy and Economic Impact.
| Publisher | Elsevier |
|---|---|
| Reference style | Numbered (Elsevier) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, C. Lee, A representative article title, Foresight 12 (2023) 45–58.
Formats any DOI in Foresight style. No sign-up. |
| Publishes research in | Forecasting Techniques and Applications Big Data and Business Intelligence Monetary Policy and Economic Impact Complex Systems and Decision Making Operations Management Techniques |
| ISSN | 1555-9068 |
| h-index | 9 |
| i10-index | 9 |
| Total citations | 386 |
| Journal website | www.forecasters.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Holt-Winters (HW) is the label we frequently give to a set of procedures that form the core of the exponential-smoothing family of forecasting methods. The basic structures were provided by C.C. Holt in 1957 and his student Peter Winters in 1960. Those of you unfamiliar with exponential smoothing should look at the brief tutorial on…
In the first installment of this two-part article, Tim Januschowski and colleagues presented a tutorial on the basics of Deep Learning (DL) through neural networks (NNs), with illustrations of how NNs have been applied for forecasting product sales and other variables at Amazon. In this segment, they describe the pros and cons of forecasting through…
The feature section in this issue is entitled A Better Crystal Ball. In their article of that name in the journal Foreign Affairs, reprinted with permission here, J. Peter Scoblic and Philip Tetlock propose a synthesis of scenario forecasting - the creation of plausible futures - with probabilistic judgments about the likelihood of different scenarios.…
When we rely on the judgment of experts to help produce our forecasts, the key issues are how to get the appropriate information from our consultants and how to get a forecast if we are using multiple experts. Gene Rowe describes the Delphi method, tells what it offers to the forecaster, and explains what the…
While we have many taxonomies of forecasting methods, the authors present a classification of forecasting problems in modern industrial settings. Such a classification can help decision makers understand what resources to draw upon when facing a particular problem and may lead to more scientific discourse about the relevant data sets for benchmarking forecasting performance. Copyright…
