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A Bayesian hierarchical approach to jointly model cortical thickness and covariance networks

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Publication:2098374
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DOI10.1007/978-3-030-42553-1_7OpenAlexW3029341825MaRDI QIDQ2098374

Marcela I. Cespedes, Jurgen Fripp, Christopher C. Drovandi, James M. McGree, Lee B. Reid, James D. Doecke, Kerrie L. Mengersen

Publication date: 18 November 2022

Full work available at URL: https://doi.org/10.1007/978-3-030-42553-1_7


zbMATH Keywords

spatial statisticsMarkov chain Monte CarloAlzheimer's diseaseconditional autoregressive modelwomblingcortical thicknessstructural MRI


Mathematics Subject Classification ID

Bayesian inference (62F15) Statistical aspects of big data and data science (62R07)


Related Items (1)

DETECTION OF LONGITUDINAL BRAIN ATROPHY PATTERNS CONSISTENT WITH PROGRESSION TOWARDS ALZHEIMER’S DISEASE







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