In our previous statistics tutorials, we have treated population
parameters as fixed values, and provided point estimates and
confidence intervals for them. An alternative approach is the
Bayesian statistics. It treats population parameters as random
variables. Probability becomes a measure of our belief in
possible outcomes. With new tools like OpenBUGS, tackling new
problems requires building new models, instead of creating yet
another R command.