Bayesian Inference in Cumulative Distribution Fields

DOI10.1007/978-3-319-12454-4_7zbMath1364.62068arXiv1511.02796OpenAlexW2146286937MaRDI QIDQ5266577

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Publication date: 16 June 2017

Published in: Springer Proceedings in Mathematics & Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1511.02796

zbMATH Keywords

multivariate analysisBayesian inferencelikelihood functioncopula functions

Mathematics Subject Classification ID

Measures of association (correlation, canonical correlation, etc.) (62H20) Bayesian inference (62F15) Characterization and structure theory for multivariate probability distributions; copulas (62H05)

Cites Work

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• The pseudo-marginal approach for efficient Monte Carlo computations
• Construction of asymmetric multivariate copulas
• Sampling Archimedean copulas
• Slice sampling. (With discussions and rejoinder)
• Ancestral graph Markov models.
• Vines -- a new graphical model for dependent random variables.
• Copulas in Machine Learning
• Posterior Sampling When the Normalizing Constant is Unknown
• Binary Models for Marginal Independence
• Probabilistic Networks and Expert Systems
• Factor graphs and the sum-product algorithm
• Families of Multivariate Distributions

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