Posterior mean
Explains how Bayesian posterior mean balances prior beliefs with new data using normal, beta-binomial, and gamma-Poisson models.
Explains how Bayesian posterior mean balances prior beliefs with new data using normal, beta-binomial, and gamma-Poisson models.
A technical guide to performing multilevel multinomial conjoint analysis using R, Bayesian modeling, and statistical packages.
Debunks the myth that models can't have more parameters than data points, explaining how and when under-determined models can be solved and useful.