Variational Bayesian inference for linear and logistic regression

Drugowitsch, Jan

arXiv.org Machine Learning 

The article describe the model, derivation, and implementation of variational Bayesian inference for linear and logistic regression, both with and without automatic relevance determination. It has the dual function of acting as a tutorial for the derivation of variational Bayesian inference for simple models, as well as documenting, and providing brief examples for the MATLAB functions that implement this inference. These functions are freely available online.

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