Explores importance sampling through a change of variable to speed up Monte Carlo calculations and discusses the impact on stochastic estimates and variance scaling.
Covers Generalized Linear Models, likelihood, deviance, link functions, sampling methods, Poisson regression, over-dispersion, and alternative regression models.
