What Your Can Reveal About Your Exponential Family And Generalized Linear Models
Exponential families are also important in Bayesian statistics. Thus, the g(E(Y)) becomes E(Y) which is represented as \(Y_{predicted}\). Note that any distribution can be converted to canonical form by rewriting {\displaystyle {\boldsymbol {\theta }}} as {\displaystyle {\boldsymbol {\theta }}’} and then applying the transformation = b ( ) {\displaystyle {\boldsymbol {\theta }}=\mathbf {b} ({\boldsymbol {\theta […]