arXiv:1310.5438 공식 코드 · Papers with Code

Variational Bayesian inference for linear and logistic regression

Jan Drugowitsch

제출 2013-10-21

원문 초록

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/Octave functions that implement this inference. These functions are freely available online.

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