Applying the imprecise Dirichlet model in cases with partial observations and dependencies in failure data

DOI10.1016/J.IJAR.2008.03.013zbMath1185.62178OpenAlexW2044865367MaRDI QIDQ962852

Frank P. A. Coolen, Matthias C. M. Troffaes

Publication date: 7 April 2010

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: http://dro.dur.ac.uk/5661/1/5661.pdf

zbMATH Keywords

independencerobustnessselection biasBayesian inferencepartial observationsimprecise Dirichlet model

Mathematics Subject Classification ID

Bayesian inference (62F15) Reliability and life testing (62N05) Nonparametric inference (62G99)

Related Items (2)

Imprecise probabilities for representing ignorance about a parameter ⋮ Imprecise probability models for learning multinomial distributions from data. Applications to learning credal networks

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Updating beliefs with incomplete observations
• A method for processing the unreliable expert judgments about parameters of probability distributions
• Imprecise reliability: An introductory overview

This page was built for publication: Applying the imprecise Dirichlet model in cases with partial observations and dependencies in failure data