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Joint Learning of Full-structure Noise in Hierarchical Bayesian Regression Models

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.11.28.470264Source: DataRank Database

Joint Learning of Full-structure Noise in Hierarchical Bayesian Regression Models is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2021). On theSindex it has a DataRank of 0. It has been cited 6 times.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (7 grants)OA: greenTopics (44)IDs (PubMed, OpenAlex)

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Authors (7)

Chang Cai ORCID,Yijing Gao ORCID,Sanjay Ghosh ORCID,Klaus‐Robert Müller,Srikantan S. Nagarajan ORCID

Live enrichment

PubMed:21097893 OpenAlex:https://openalex.org/W3118674858

National Institutes of Health

Grant: 3R01EB022717-04S1

Multimodal modeling framework for fusing structural and functional connectome data

National Institutes of Health

Grant: 1R01NS100440-01A1

Dynamic Brain Imaging of Speech in Primary Progressive Aphasia

National Institutes of Health

Grant: 5R01DC004855-03

Cortical spatiotemporal plasticity in humans

National Institutes of Health

Grant: 5R01DC010145-02

Neuroimaging of Speech Motor Control

National Institutes of Health

Grant: 5R01DC013979-02

Imaging sensorimotor adaptation and compensation of speech

Deutsche Forschungsgemeinschaft

Grant: 390685689

MATH+: Berlin Mathematics Research Center

European Commission

Grant: 758985

Advancing the non-invasive assessment of brain communication in neurological disease

greenLicense: cc-by-nc-nd

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2022/11/07/2021.11.28.470264.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2021.11.28.470264

repositoryhttps://doi.org/10.1101/2021.11.28.470264

Europe_PMChttps://europepmc.org/article/PPR/PPR425763

Fields of Study

Blind Source Separation TechniquesSparse and Compressive Sensing TechniquesGaussian Processes and Bayesian Inference02 engineering and technology03 medical and health sciences0302 clinical medicine0202 electrical engineering, electronic engineering, information engineering

Keywords

CovarianceNoise (video)Computer sciencePrior probabilityEstimation of covariance matricesIndependent and identically distributed random variablesAlgorithmBayesian probabilityArtificial intelligenceMathematicsPattern recognition (psychology)Covariance matrixStatisticsRandom variableBrain modelingInverse problemshierarchical Bayesian learningCovariance matricesGaussian noiseComputer Vision and Multimedia ComputationImagingMachine LearningEngineeringEEG/MEG brain source imagingInformation and Computing SciencesComputer Simulationtype-II maximum-likelihoodManifoldsmajorization minimizationMagnetoencephalographyBayes TheoremElectroencephalographysparse Bayesian learningBayes methodsNuclear Medicine & Medical ImagingCommunications EngineeringAlgorithms