BayesianLinearRegressors.jl
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[feature request] inverse gamma prior on the measurement noise
hi! I'm looking for an implementation of the version of Bayesian linear regression where we can place an inverse gamma prior on the variance of the measurement noise and [as it looks like here] a Gaussian prior on the weight vector. then, the posterior has an analytical form. see eqns. 9-12 here. please let me know if this is already in this package and I am missing it, or if there is another package in Julia for this. thanks!
This would indeed be something that would be good to have. We don't have it in this package at this point, but I would definitely be open to a proposal
If you find this tedious to work out because of different parametrisations and notations here it is already in Julia https://discourse.julialang.org/t/seven-lines-of-julia-examples-sought/50416/26?u=mschauer