Evidence Evaluation for Bayesian Neural Networks Using Contour Monte Carlo

DOI10.1162/0899766053630323zbMath1061.62152OpenAlexW2063295198MaRDI QIDQ4678376

Faming Liang

Publication date: 23 May 2005

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1162/0899766053630323

zbMATH Keywords

ischemic heart diseasesirise data

Mathematics Subject Classification ID

Bayesian inference (62F15) Monte Carlo methods (65C05) Neural nets and related approaches to inference from stochastic processes (62M45)

Related Items (2)

Annealing stochastic approximation Monte Carlo algorithm for neural network training ⋮ Consistent Sparse Deep Learning: Theory and Computation

Cites Work

• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Regression and time series model selection in small samples
• Further analysis of the data by Akaike's information criterion and the finite corrections
• Bayes Factors
• Monte Carlo sampling methods using Markov chains and their applications
• Simulating normalizing constants: From importance sampling to bridge sampling to path sampling

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