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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
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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 …
1
vote
0
answers
132
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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 …