Bayesian Concept Learning and Application for a Simple Language
... • For the Bernoulli, the conjugate prior is the beta distribution: • The parameters of prior called hyper‐parameters. • We can set them in order to encode our prior beliefs. • E.g. To encode that has mean 0.7 and standard deviation 0.2, we set a = 2.975 and b = 1.275. ...
... • For the Bernoulli, the conjugate prior is the beta distribution: • The parameters of prior called hyper‐parameters. • We can set them in order to encode our prior beliefs. • E.g. To encode that has mean 0.7 and standard deviation 0.2, we set a = 2.975 and b = 1.275. ...
Joint distributions of discrete random variables
... Suppose X and Y are independent Poissons with parameters λ1 and λ2 respectively. What is the conditional distribution of X given X + Y = n. Independent Discrete Random Variables ...
... Suppose X and Y are independent Poissons with parameters λ1 and λ2 respectively. What is the conditional distribution of X given X + Y = n. Independent Discrete Random Variables ...