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Multivariate LinearGaussian Implementation Issue

In infer.NET, is it possible to define a multivariate linear gaussian variable Y so that
Y = A*X + E
where X is a multivariate gaussian random variable,
A is a constant matrix
and E is a zero mean multivariate gaussian
The following code results in the error below.
double[,] A_a = { { 4.0, 0.5 }, { 0.5, 7.2 } };
Matrix A = new Matrix(A_a);Variable<Vector> E = Variable.VectorGaussianFromMeanAndVariance(ue, Se).Named("E");
Variable<Vector> X = Variable.VectorGaussianFromMeanAndPrecision(ux, Kx).Named("X");
Variable<Vector> Y = A*X + E;error:
operator '*' cannot be applied to operands of type 'Matrix' and 'Variable<vector>'
Is there perhaps another type of matrix variable that should be use in such a case?