Reconciling Curvature and Importance Sampling Based Procedures for Summarizing Case Influence in Bayesian Models

DOI10.1080/01621459.2017.1360777zbMath1409.62126OpenAlexW2742762710MaRDI QIDQ3121559

Mario Peruggia, Steven N. MacEachern, Zoe Thomas

Publication date: 20 March 2019

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/01621459.2017.1360777

zbMATH Keywords

covariance matrixKullback-Leibler divergencecase deletionprincipal components analysisgraphical model diagnostics

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Bayesian inference (62F15) Diagnostics, and linear inference and regression (62J20)

Related Items (2)

Bayesian influence diagnostics using normalized functional Bregman divergence ⋮ Identifying influential observations in a Bayesian multi-level mediation model

Uses Software

• JAGS
• LOWESS

Cites Work

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• JAGS
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• Regression with censored data
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• On the Variability of Case-Deletion Importance Sampling Weights in the Bayesian Linear Model
• Assessing Influence in Regression Analysis with Censored Data
• Bayesian Inference in Econometric Models Using Monte Carlo Integration
• Bayesian analysis of outlier problems using divergence measures
• Bayesian estimation and case influence diagnostics for the zero-inflated negative binomial regression model
• Local influence on posterior distributions under multiplicative modes of perturbation
• Assessment of locally influential observations in Bayesian models

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