Multivariate Normal with Positive Semi-Definite Covariance Matrix

Just wanted to chime in that I have the same issue; advice would be appreciated.

julia> x_hat_F
2-element Array{Float64,1}:
  1.5999999999999996
 -1.3333333333333328

julia> Σ_F
2×2 Array{Float64,2}:
 0.133333  0.1
 0.1       0.15

julia> MvNormal(x_hat_F, Σ_F)
ERROR: PosDefException: matrix is not Hermitian; Cholesky factorization failed.
Stacktrace:
 [1] checkpositivedefinite(::Int64) at C:\cygwin\home\Administrator\buildbot\worker\package_win64\build\usr\share\julia\stdlib\v1.0\LinearAlgebra\src\factorization.jl:11
 [2] #cholesky!#91(::Bool, ::Function, ::Array{Float64,2}, ::Val{false}) at C:\cygwin\home\Administrator\buildbot\worker\package_win64\build\usr\share\julia\stdlib\v1.0\LinearAlgebra\src\cholesky.jl:182
 [3] #cholesky! at .\none:0 [inlined] (repeats 2 times)
 [4] #cholesky#95 at C:\cygwin\home\Administrator\buildbot\worker\package_win64\build\usr\share\julia\stdlib\v1.0\LinearAlgebra\src\cholesky.jl:275 [inlined]
 [5] cholesky at C:\cygwin\home\Administrator\buildbot\worker\package_win64\build\usr\share\julia\stdlib\v1.0\LinearAlgebra\src\cholesky.jl:275 [inlined] (repeats 2 times)
 [6] Type at C:\Users\Arnav Sood\.julia\packages\PDMats\mL7bX\src\pdmat.jl:16 [inlined]
 [7] MvNormal(::Array{Float64,1}, ::Array{Float64,2}) at C:\Users\Arnav Sood\.julia\packages\Distributions\WHjOk\src\multivariate\mvnormal.jl:208
 [8] top-level scope at none:0