• Corpus ID: 249926921

Bayesian nonparametric scalar-on-image regression via Potts-Gibbs random partition models

@inproceedings{Xian2022BayesianNS,
  title={Bayesian nonparametric scalar-on-image regression via Potts-Gibbs random partition models},
  author={Mica Teo Shu Xian and Sara Wade},
  year={2022}
}
Scalar-on-image regression aims to investigate changes in a scalar response of interest based on high-dimensional imaging data. We propose a novel Bayesian nonparametric scalar-on-image regression model that utilises the spatial coordinates of the voxels to group voxels with similar effects on the response to have a common coefficient. We employ the Potts-Gibbs random partition model as the prior for the random partition in which the partition process is spatially dependent, thereby encouraging… 

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