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Results tagged with bayesian
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user 168887
Bayesian inference is a method of statistical inference that relies on treating the model parameters as random variables and applying Bayes' theorem to deduce subjective probability statements about the parameters or hypotheses, conditional on the observed dataset.
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Using Bayesian Lasso with an informed prior
I'm looking for advice on how best to go about setting an informative prior for the Bayesian Lasso and BART (I'm applying these in R using the rjags and bartMachine packages)
I have 3 proteomics datasets … I want to train a Bayesian model on dataset 2, using a prior distribution based on knowledge gained from dataset 1, and then test the performance of the Bayesian model in predicting patients from controls …
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