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Table 3 Prior and proposal distributions used for the parameters introduced in the parameter expansions

From: A Bayesian model for classifying all differentially expressed proteins simultaneously in 2D PAGE gels

Global parameterθi

Prior distributionp(θi)

Proposal distributionq(θ*|θi)

α μ

Uniform  (0.01,10)

Truncated-Normal  (μ = α μ , lower = 0.01)

α κ

Uniform  (0.01,10)

Truncated-Normal  (μ = α κ , lower = 0.01)

α τ

Uniform  (0.01,10)

Truncated-Normal  (μ = α τ , lower = 0.01)