Statistics
2026-09-02
Worked solutions in R to all 78 exercises in the fourth edition of Dobson & Barnett's An Introduction to Generalized Linear Models — exponential family theory, estimation and inference, normal linear models, binomial and Poisson regression, contingency tables, survival analysis, clustered and longitudinal data, and Bayesian analysis with MCMC.
This blog post has been created to convince you that real-world probability, is in fact Bayesian probability.
Anyone who believes that a frequentist approach is superior may be correct (for that particular example), but it must be said that the Bayesian framework is a superset of this naive and trivial card-playing model of probability.
We are no longer trying to determine the probability of landing a
double-six dice roll, and rather we are trying to figure out what
the probability is that Mia (our cat) will be waiting for us on the
porch when we get home.