Hello everyone,

I'm having trouble with implementing a simple Bayesian inference method. There is one parameter A, defined as a Guassian distribution. The observations of A provide information in the form of Gaussian distributions, A_observed_mean & A_observed_precision,
which should be used to update the mean and precision of A. Is it possible to provide observed information to the inference engine as a Gaussian distribution? It should look something like:

A_observation.ObservedValue = GaussianFromMeanAndPrecision(A_observed_mean , A_observed_precision);

I know the code isn't correct, but I hope the idea is clear enough to provide you with an idea of my problem. Thanks in advance.

Best regards