Commit 3844b626 authored by Ying-Qiu Zheng's avatar Ying-Qiu Zheng
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parent e6896107
......@@ -104,3 +104,6 @@ The low-quality coefficients have similar structured ARD priors (exp of a Gaussi
Similarly, instead of using ARD priors, we assume the coefficients have spike-and-slab priors with latent variables $`\gamma_i^{H}, i=1,2,...d`$, where $`\gamma_i\sim\text{Bernoulli}(\sigma(\theta))`$. The hyperparameter $`\theta`$ can be a Gaussian Process. [(ref)](
#### On the low quality data
The low quality coefficients have similar spike-and-slab priors to enforce sparsity.
## Assume low-quality data is rotated (noiser) version of high quality data
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