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Table 1.
Priors on model parameters.
| Model parameter | Prior distribution |
|---|---|
| Latent variable | P(zi) = 𝒢(zi, 1) |
| Latent noise parameter | P(ξN) = 𝒢(ξN, 1) |
| Generative model parameter | P(θ) = const. |
Notes. zi are the latent variables generating the data, ξN is the transformed expression of the model noise covariance N, and θ is the parameter vector of the generative forward model.
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