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Novel methods for adaptive time-series forecasting and prediction-interval construction

Annals of Operations Research(2025)10.1007/s10479-025-06795-2Source: DataRank Database

Novel methods for adaptive time-series forecasting and prediction-interval construction is a research paper published in Annals of Operations Research (2025). On theSindex it has a DataRank of 0.

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0DataRank · unranked

Scored on demand from live citation data

Open Access0 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (4 grants)Impact (FWCI 0.00)OA: hybridTopics (16)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (6)

Javier Cabrera ORCID,Núria Díaz-Tena,Michael N. Katehakis ORCID,Chun Pang Lin ORCID,Jin Wang ORCID

Live enrichment

PubMed:21097893 OpenAlex:https://openalex.org/W4413892884

National Science Foundation

Grant: CMMI-1662629

National Heart, Lung, and Blood Institute

Grant: R01-HL150065

Johnson and Johnson

Grant: AWD00008043-MOD001

National Institutes of Health

Grant: 5R01HL150065-02

Cardiovascular Health After Placental Abruption (CHAP)

FWCI

0.00

Citation Percentile

0.1%

hybridLicense: cc-by

journalhttps://link.springer.com/content/pdf/10.1007/s10479-025-06795-2.pdf

publisherhttps://link.springer.com/content/pdf/10.1007/s10479-025-06795-2.pdf

publisherhttps://link.springer.com/article/10.1007/s10479-025-06795-2/fulltext.html

journalhttps://doi.org/10.1007/s10479-025-06795-2

Fields of Study

Energy Load and Power ForecastingForecasting Techniques and ApplicationsStock Market Forecasting Methods0101 mathematics01 natural sciences

Keywords

Theory of computationSeries (stratigraphy)Computer scienceInterval (graph theory)Time seriesEconometricsMathematical optimizationAlgorithmMachine learningMathematicsGeology