how to make a gaussian distribution of two n how to find the distribution of the mean,covariance, and covariance in a gaussian distribution what type of data can be made from a gaussian what is the relationship between the coefficient and the weight of the sum of data if a gaussian distribution is composed of two pairs, why is it necessary to draw a weighted posterior sample which type of priors is used to draw the mean? what is the gaussian distribution which statement is true about the posterior distribution of a gaussian distribution? can we draw a gaussian distribution what is the formula to draw a posterior distribution when we can draw posterior samples from two sets of data, we can say the data is distributed as a gaussian. how to draw a gaussian distribution how to find the coefficient of covariance what is the gaussian distribution of the observed data why is the gaussian distribution always shifted a gaussian distribution? why isn't a gaussian distribution used what is the distribution of a gaussian? when using a posterior, what is the mean distribution? what is meant by reparametric mean? what is the difference between a gaussian and a bayesian