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Learning Bayesian Models with R by Dr. Hari M. Koduvely

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The Bayesian logistic regression model

The name logistic regression comes from the fact that the dependent variable of the regression is a logistic function. It is one of the widely used models in problems where the response is a binary variable (for example, fraud or not-fraud, click or no-click, and so on).

A logistic function is defined by the following equation:

The Bayesian logistic regression model

It has the particular feature that, as y varies from The Bayesian logistic regression model to The Bayesian logistic regression model, the function value varies ...

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