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

2 votes
0 answers
579 views

inverse logistic regression with binary covariates

I am currently using a hierarchical Bayesian framework to investigate a problem with both a single binary response variable and binary covariates, $P(Y=1 | X_i=1), i=1,\ldots,n$. Using R/JAGS I can ch …
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  • 916
1 vote
0 answers
106 views

SVM versus Bayesian regression example(s)?

I am trying to track down examples where some basic problems have been tackled via both classical Machine Learning algorithms and more formal statistical methods. In particular, I'm interested in exa …
Aengus's user avatar
  • 916
4 votes

What's the difference between "deep learning" and multilevel/hierarchical modeling?

While this question/answer has been out there for a bit, I hought it might be helpful to clarify a few points in the answer. First, the phrase raised as a major distinction between hierarchical method …
Aengus's user avatar
  • 916