The Baby Model
In this chapter we will obtain marginal posterior distributions of the unknowns using the simplest possible model, the one in which data are Normally distributed and we only have to estimate the mean and variance of the Normal distribution. In Chaps. 6, 7 and 8, we will see models that are more complex. We will find first analytical solutions to understand better the meaning of conditional and marginal distributions, and we will use Gibbs sampling later. We follow the humorous suggestion of Daniel Gianola and name the simplest model ‘Baby model’.
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