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Tilted least squares robust estimators

Automatica(2025)10.1016/j.automatica.2025.112699Source: DataRank Database

Tilted least squares robust estimators is a research paper published in Automatica (2025). On theSindex it has a DataRank of 0.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access0 citations

Cite:

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (5 grants)OA: greenTopics (4)IDs (PubMed)

Context only (not used in score)

Findable (1/2)

Accessible (1/2)

Interoperable (0/2)

Reusable (0/3)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

We only score data papers we can read in full — never from an abstract alone.

Live enrichment

Chinese Academy of Sciences

Grant: NIHR15AG061755-01

Chinese Academy of Sciences

Grant: NIHR42CA195819

Chinese Academy of Sciences

Grant: XDA27030201

NIA NIH HHS

Grant: R15 AG061755

NCI NIH HHS

Grant: R42 CA195819

greenLicense: http://www.elsevier.com/open-access/userlicense/1.0/

Keywords

OutliersHeavy-tailed NoisesTilted Least Squares EstimatorsRelaxed Least Trimmed Squares Estimators