APPLYING THE SAVAGE-DICKEY DENSITY RATIO TO DEFAULT BAYES FACTORS, WITH AN ILLUSTRATION TO OUTLIER DETECTION IN RANDOM EFFECTS MODELS
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Publication:4540571
DOI10.1081/STA-100108448zbMath1009.62505MaRDI QIDQ4540571
Sangjeen Lee, Younshik Chung, Dey, Dipak K.
Publication date: 28 July 2002
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Bayesian problems; characterization of Bayes procedures (62C10) Analysis of variance and covariance (ANOVA) (62J10) Diagnostics, and linear inference and regression (62J20)
Cites Work
- Unnamed Item
- The Intrinsic Bayes Factor for Model Selection and Prediction
- A Bayesian approach to outlier detection and residual analysis
- Approximate Posterior Distributions
- A Predictive View of the Detection and Characterization of Influential Observations in Regression Analysis
- Computing Bayes Factors Using a Generalization of the Savage-Dickey Density Ratio
- Bayes Factors
- The Weighted Likelihood Ratio, Linear Hypotheses on Normal Location Parameters
- Care and Handling of Univariate or Multivariate Outliners in Detecting Spuriosity: A Bayesian Approach
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