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Mean-field variational approximate Bayesian inference for latent variable models

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  • Consonni, Guido
  • Marin, Jean-Michel

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  • Consonni, Guido & Marin, Jean-Michel, 2007. "Mean-field variational approximate Bayesian inference for latent variable models," Computational Statistics & Data Analysis, Elsevier, vol. 52(2), pages 790-798, October.
    • Handle: RePEc:eee:csdana:v:52:y:2007:i:2:p:790-798
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    Cited by:

    1. Nicolas Depraetere & Martina Vandebroek, 2017. "A comparison of variational approximations for fast inference in mixed logit models," Computational Statistics, Springer, vol. 32(1), pages 93-125, March.
    2. Armagan, Artin & Zaretzki, Russell L., 2011. "A note on mean-field variational approximations in Bayesian probit models," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 641-643, January.
    3. Ormerod, John T., 2011. "Grid based variational approximations," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 45-56, January.
    4. Salter-Townshend, Michael & Murphy, Thomas Brendan, 2013. "Variational Bayesian inference for the Latent Position Cluster Model for network data," Computational Statistics & Data Analysis, Elsevier, vol. 57(1), pages 661-671.

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