Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Reference27 articles.
1. Akaike, H. (1974). A new look at the statistical model identification. IEEE Transaction on Automatic Control, 19, 716–723.
2. Allman, E., Matias, C., & Rhodes, J. (2009). Identifiability of parameters in latent structure models with many observed variables. Annals of Statistics, 37, 3099–3132.
3. Aoyagi, M. (2010). Stochastic complexity and generalization error of a restricted boltzmann machine in Bayesian estimation. Journal of Machine Learning Research, 11, 1243–1272.
4. Aoyagi, M., & Watanabe, S. (2005). Stochastic complexities of reduced rank regression in Bayesian estimation. Neural Networks, 18, 924–933.
5. Atiyah, M. F. (1970). Resolution of singularities and division of distributions. Communications on Pure and Applied Mathematics, 23, 145–150.
Cited by
34 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Recent advances in algebraic geometry and Bayesian statistics;Information Geometry;2022-12-06
2. Information criteria and cross validation for Bayesian inference in regular and singular cases;Japanese Journal of Statistics and Data Science;2021-05-11
3. WAIC and WBIC for mixture models;Behaviormetrika;2021-01
4. Index;Variational Bayesian Learning Theory;2019-06-30
5. Bibliography;Variational Bayesian Learning Theory;2019-06-30