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Missing rand procedure for MvNormalMeanScalePrecision #387

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albertpod opened this issue Mar 5, 2024 · 1 comment
Open

Missing rand procedure for MvNormalMeanScalePrecision #387

albertpod opened this issue Mar 5, 2024 · 1 comment
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enhancement New feature or request

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@albertpod
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Following the discussion, we have found that sampling from MvNormalMeanScalePrecision is not implemented, i.e.

julia> dist = MvNormalMeanScalePrecision(zeros(2), 2.0)
MvNormalMeanScalePrecision{Float64, Vector{Float64}}(μ=[0.0, 0.0], γ=2.0)

julia> rand(dist)
ERROR: MethodError: no method matching length(::MvNormalMeanScalePrecision{Float64, Vector{Float64}})
@albertpod albertpod added the enhancement New feature or request label Mar 5, 2024
@bvdmitri
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bvdmitri commented Mar 6, 2024

Maybe we should move this distribution in ExponentialFamily.jl?

@albertpod albertpod assigned albertpod and unassigned HoangMHNguyen Aug 21, 2024
@albertpod albertpod mentioned this issue Aug 21, 2024
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@bvdmitri @albertpod @HoangMHNguyen