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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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Bayesian Logistic Regression with Regularization
For one of my Statistics for Analytics semester projects, I am thinking of applying concepts of Bayesian Statistics, Regression and Regularization in R. … I can easily find resources on Bayesian Logistic Regression and Logistic Regression with Regularization but I am unable to find something that involves all three of these. …