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Geostatistical modeling of positive‐definite matrices: An application to diffusion tensor imaging

Biometrics(2021)10.1111/biom.13445Source: DataRank Database

Geostatistical modeling of positive‐definite matrices: An application to diffusion tensor imaging is a research paper published in Biometrics (2021). On theSindex it has a DataRank of 0. It has been cited 5 times.

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Open Access5 citations

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Geostatistical Modeling of Positive Definite Matrices: An Application to Diffusion Tensor Imaging · arXiv

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (3 grants)Impact (FWCI 0.42)OA: greenTopics (20)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)

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Reusable (0/3)

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Authors (6)

Brian J. Reich ORCID,Joseph Guinness ORCID,Dipankar Bandyopadhyay ORCID,Liangsuo Ma ORCID,F. Gerard Moeller ORCID

Live enrichment

PubMed:33569777 PMC:PMC10294277 OpenAlex:https://openalex.org/W2934673135

Foundation for the National Institutes of Health

Grant: P30CA016059

Foundation for the National Institutes of Health

Grant: R01DE024984

Foundation for the National Institutes of Health

Grant: U54DA038999

FWCI

0.42

Citation Percentile

0.6%

Citation Trend

2021

2022

2024

2025

2026

greenLicense: http://onlinelibrary.wiley.com/termsAndConditions#vor

repositoryhttps://arxiv.org/pdf/1904.04091

publisherhttps://onlinelibrary.wiley.com/doi/pdf/10.1111/biom.13445

publisherhttps://onlinelibrary.wiley.com/doi/full-xml/10.1111/biom.13445

repositoryhttp://arxiv.org/abs/1904.04091

Fields of Study

Advanced Neuroimaging Techniques and ApplicationsPoint processes and geometric inequalitiesSpatial and Panel Data Analysis

MeSH Terms

Computer SimulationStochastic ProcessesNormal DistributionDiffusion Tensor Imaging

Keywords

Cholesky decompositionWishart distributionMathematicsComputer scienceAlgorithmApplied mathematicsStatisticsEigenvalues and eigenvectorsDiffusion Tensor ImagingGeostatistical ModelingPositive-definite MatrixSpatial Wishart ProcessSpatial Random Fields

Sustainable Development Goals

SDG 0: Good health and well-being

Geostatistical Modeling of Positive Definite Matrices: An Application to Diffusion Tensor Imaging

10.48550/arxiv.1904.04091arXiv