A Unified Bayesian Inference Framework for Generalized Linear Models


In this letter, we present a unified Bayesian inference framework for generalized linear models (GLM), which iteratively reduces the GLM problem to a sequence of standard linear model (SLM) problems. This framework provides new perspectives on some established GLM algorithms derived from SLM ones and also suggests novel extensions for some other SLM… (More)
DOI: 10.1109/LSP.2017.2789163


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