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Hierarchical Bayesian models specify priors on parameters and hyperpriors on the parameters of the prior distributions

3 votes
2 answers
160 views

Formal Bayesian justification of conditional modelling

I'm having some trouble following the logic of this passage from Chapter 14 in Bayesian Data Analysis, A. Gelman: The numerical 'data' in a regression problem includes both $X$ and $y$. Thus, a fu …
PeteyCoco's user avatar
1 vote
0 answers
132 views

Gaussian process regression model for comparing two groups

I have a data set consisting of functional observations, where $Y_{mi}$ is the response of the $m^{th}$ functional observation from the $i^{th}$ group, $m=1,...,M$ and $i=1,2,$. The observations are o …
PeteyCoco's user avatar