Improving the mean-field approximation in belief networks using Bahadur's reparameterisation of the multivariate binary distribution
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Publication:1856303
DOI10.1023/A:1009617914949zbMath1060.68641OpenAlexW1483245278MaRDI QIDQ1856303
Publication date: 2000
Published in: Neural Processing Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1023/a:1009617914949
Related Items (4)
Approximate Bayesian inference for simple mixtures ⋮ Variational approximations for categorical causal modeling with latent variables ⋮ Bayesian methods for neural networks and related models ⋮ A note on the Bahadur representation of sample quantiles for \(\alpha \)-mixing random variables
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