arXiv Open Access 2019

A comment on the "A unified Bayesian inference framework for generalized linear models"

Jiang Zhu

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Abstrak

The recent work `A unified Bayesian inference framework for generalized linear models' \cite{meng1} shows that the GLM can be solved via iterating between the standard linear module (SLM) (running with standard Bayesian algorithm) and the minimum mean squared error (MMSE) module. The proposed framework utilizes expectation propagation and corresponds to the sum-product version \cite{Rangan1}. While in \cite{Rangan1}, a max-sum GAMP is also proposed. What is their intrinsic relationship? This comment aims to answer this.

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Jiang Zhu

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APA MLA BibTeX

Zhu, J. (2019). A comment on the "A unified Bayesian inference framework for generalized linear models". https://arxiv.org/abs/1904.04485

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Informasi Jurnal

Tahun Terbit: 2019
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓