Mean of likelihood function for Bayesian regression

Placing c_ in the denominator and using a prior that sits directly on zero is probably not helping things. With mu=0 it’s likely the sampler is starting off at a point in the parameter space where c_ is exactly zero. What happens if you alter the prior for c_ to be even slightly offset from zero?

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