The Objective Bayesian
Monthly newsletter devoted to reworking statistics to deliver results of the kind that we need
How to build a polls-only objective Bayesian model that goes from state polling lead to probability of winning the state.
Derive an objective prior for the difference of two binomial distribution proportions
Use Chebyshev interpolants and adaptive sparse grids to efficiently approximate smooth functions of multiple variables
How to derive posterior probabilities for hypotheses using default Bayes factors
How to calculate probability when "we absolutely know nothing antecedently to any trials made" (Bayes, 1763)
