Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

Sequential Bayesian Registration for Functional Data

Statistics and Computing(2025)10.1007/s11222-025-10640-8Source: DataRank Database

Sequential Bayesian Registration for Functional Data is a research paper published in Statistics and Computing (2025). On theSindex it has a DataRank of 0. It has been cited 1 time.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access1 citations

Download PDF

Cite:

Linked data & code

Sequential Bayesian Registration for Functional Data · arXiv

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 (9 grants)Impact (FWCI 0.55)OA: hybridTopics (33)Linked Datasets (1)DataCite Reuse (1)IDs (PubMed, PMC, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

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

Run a calibrated FAIR evaluation for this paper →

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

Authors (3)

Oksana Chkrebtii ORCID,Sebastian Kurtek ORCID,Yoonji Kim ORCID

Live enrichment

PubMed:40444148 PMC:PMC12116714 OpenAlex:https://openalex.org/W4410776398

National Aeronautics and Space Administration

Grant: NASA- 80NSSC18K1322

National Science Foundation

Grant: NSF DMS-2015226

National Institutes of Health

Grant: R37-CA214955

NCI NIH HHS

Grant: R37 CA214955

National Science Foundation

Grant: 2413747

Collaborative Research: NSF MPS/DMS-EPSRC: Stochastic Shape Processes and Inference

National Science Foundation

Grant: 1740761

TRIPODS: Topology, Geometry, and Data Analysis (TGDA@OSU):Discovering Structure, Shape, and Dynamics in Data

National Science Foundation

Grant: 1839252

TRIPODS+X:RES:Collaborative Research: Improving Templated Microstructures via Topological Data Analysis

National Science Foundation

Grant: 2015226

Collaborative Research: Shape-Based Imputation and Estimation of Fragmented, Noisy Curves with Application to the Reconstruction of Fossil Bovid Teeth

National Institutes of Health

Grant: 5R37CA214955-08

Synthesizing Image-derived Heterogeneity with Genomic measurements for Assessing Disease Aggressiveness in Lower Grade Gliomas

FWCI

0.55

Citation Percentile

0.6%

Citation Trend

2026

hybridLicense: cc-by

journalhttps://link.springer.com/content/pdf/10.1007/s11222-025-10640-8.pdf

HYBRIDhttps://link.springer.com/content/pdf/10.1007/s11222-025-10640-8.pdf

publisherhttps://link.springer.com/content/pdf/10.1007/s11222-025-10640-8.pdf

publisherhttps://link.springer.com/article/10.1007/s11222-025-10640-8/fulltext.html

journalhttps://doi.org/10.1007/s11222-025-10640-8

Fields of Study

Hydrology and Drought AnalysisClimate variability and modelsHydrological Forecasting Using AIMathematicsMedicineComputer Science0101 mathematics01 natural sciences

Keywords

Markov chain Monte CarloComputer scienceBayesian inferenceBayesian probabilityInferenceData miningMonte Carlo methodReversible-jump Markov chain Monte CarloData setArtificial intelligencePosterior probabilityAlgorithmMachine learningMathematicsStatisticsSequential Monte CarloBayesian UpdatingSquare-root Velocity FunctionFunction RegistrationMethodology (stat.ME)FOS: Computer and information sciencesFunctional data analysisOriginal PaperComputational methods for problems pertaining to statisticsStatistics - Methodology

Sustainable Development Goals

SDG 0: Life below water

Sequential Bayesian Registration for Functional Data

10.48550/arxiv.2203.12005arXiv