# Computing the conditional distribution for the mean of a Gaussian

I have the following distributional assumptions on some on my RV and model parameters:

$$y_i \sim N(\beta x_i, w_i^{-1}\Sigma_y)$$

There is a normal prior on the parameters $\beta$ as well:

$$\beta \sim N(\beta_0, \Sigma_{\beta})$$