Fully Bayesian spectral methods for imaging data

DOI10.1111/biom.12782zbMath1414.62471OpenAlexW2758210255WikidataQ44875799 ScholiaQ44875799MaRDI QIDQ3119891

Ana-Maria Staicu, Russell T. Shinohara, Brian J. Reich, Simon N. Vandekar, Joseph Guinness

Publication date: 13 March 2019

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc5874158

zbMATH Keywords

Markov chain Monte Carlospherical harmonicsshrinkage priorsfunctional connectivityMatérn correlation

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Image analysis in multivariate analysis (62H35) Inference from stochastic processes and spectral analysis (62M15)

Related Items (3)

Statistical Modeling for Spatio-Temporal Data From Stochastic Convection-Diffusion Processes ⋮ Spatial Shrinkage Via the Product Independent Gaussian Process Prior ⋮ A spatial Bayesian semiparametric mixture model for positive definite matrices with applications in diffusion tensor imaging

This page was built for publication: Fully Bayesian spectral methods for imaging data