BSPBSS
Bayesian Spatial Blind Source Separation
Gibbs sampling for Bayesian spatial blind source separation (BSP-BSS). BSP-BSS is designed for spatially dependent signals in high dimensional and large-scale data, such as neuroimaging. The method assumes the expectation of the observed images as a linear mixture of multiple sparse and piece-wise smooth latent source signals, and constructs a Bayesian nonparametric prior by thresholding Gaussian processes. Details can be found in our paper: Wu et al. (2022+) "Bayesian Spatial Blind Source Separation via the Thresholded Gaussian Process" doi:10.1080/01621459.2022.2123336.
- Version1.0.5
- R version≥ 3.4.0
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- Last release11/25/2022
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Team
Ben Wu
Jian Kang
Show author detailsRolesAuthorYing Guo
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- Depends1 package
- Imports12 packages
- Suggests2 packages
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