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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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