A spatially varying hierarchical random effects model for longitudinal macular structural data in glaucoma patients

DOI10.1214/24-AOAS1944MaRDI QIDQ6665527

Andrew J. Holbrook, Robert E. Weiss, Kouros Nouri-Mahdavi, Erica Su

Publication date: 17 January 2025

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

random effects Bayesian modeling spatially varying coefficients optical coherence tomography glaucoma multivariate Gaussian processes ganglion cell complex

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Cites Work

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Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC
Diagnosing Glaucoma Progression with Visual Field Data Using a Spatiotemporal Boundary Detection Method
Cross-covariance functions for multivariate geostatistics
Analysis of multiple sclerosis lesions via spatially varying coefficients
Spatial variation. 2nd ed
Constructing and fitting models for cokriging and multivariable spatial prediction
Rank-normalization, folding, and localization: an improved \(\widehat{R}\) for assessing convergence of MCMC (with Discussion)
Studies in the history of probability and statistics XLIX: On the Matérn correlation family
Bayesian data analysis.
Asymptotic equivalence of Bayes cross validation and widely applicable information criterion in singular learning theory
ggplot2
Bayesian Spatiotemporal Inference in Functional Magnetic Resonance Imaging
A scalable multi-resolution spatio-temporal model for brain activation and connectivity in fMRI data
Generalized Hierarchical Multivariate CAR Models for Areal Data
Handbook of Spatial Statistics
Gaussian Predictive Process Models for Large Spatial Data Sets
Spatial Modeling With Spatially Varying Coefficient Processes
A Valid Matérn Class of Cross-Covariance Functions for Multivariate Random Fields With Any Number of Components
Spatially Varying Coefficient Model for Neuroimaging Data With Jump Discontinuities
Bayesian inference for high-dimensional nonstationary Gaussian processes
Equation of State Calculations by Fast Computing Machines
Matérn Cross-Covariance Functions for Multivariate Random Fields

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