RW prior on vectors

[patwa67]

How can I apply random walk priors to a vector (beta[1:10]) using AdvancedMH in Turing? Not working sampling code is as follows:

chain = sample(
    model,
    MH(
        :sigmae => AdvancedMH.RandomWalkProposal(Normal(0, 0.1)),
        :alpha => AdvancedMH.RandomWalkProposal(Normal(0, 0.1)),
        :beta => AdvancedMH.RandomWalkProposal(Normal(0, 0.1)),
    ),
    1_000
)