Bayesian approach to outlier detection in multivariate normal samples and linear models

DOI10.1080/03610929808832112zbMath0895.62034OpenAlexW2030141260MaRDI QIDQ4386457

Alexandre Varbanov

Publication date: 13 September 1998

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/11299/199637

zbMATH Keywords

Bayes factorsoutlier identificationmultivariate normalmultivariate linear models

Mathematics Subject Classification ID

Hypothesis testing in multivariate analysis (62H15) Bayesian inference (62F15)

Related Items (1)

Genetic algorithms for outlier detection in multiple regression with different information criteria

Cites Work

• Bayesian regression diagnostics with applications to international consumption and income data
• Outlier detection in the state space model
• Bayesian residual analysis in the presence of censoring
• A Bayesian approach to outlier detection and residual analysis
• Robust Procedures in Multivariate Analysis I: Robust Covariance Estimation
• Bayesian Analysis of Regression Error Terms
• Care and Handling of Univariate or Multivariate Outliners in Detecting Spuriosity: A Bayesian Approach
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