Conflict diagnostics in directed acyclic graphs, with applications in Bayesian evidence synthesis
From MaRDI portal
Publication:5965031
DOI10.1214/13-STS426zbMath1331.62160arXiv1310.0628OpenAlexW3105019151WikidataQ57385680 ScholiaQ57385680MaRDI QIDQ5965031
David Ohlssen, Anne M. Presanis, David J. Spiegelhalter, Daniela De Angelis
Publication date: 2 March 2016
Published in: Statistical Science (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1310.0628
Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Trees (05C05)
Related Items (12)
Interoperability of statistical models in pandemic preparedness: principles and reality ⋮ Bayesian concentration ratio and dissonance ⋮ A stochastic variational framework for fitting and diagnosing generalized linear mixed models ⋮ Variational inference for cutting feedback in misspecified models ⋮ Checking for prior-data conflict using prior-to-posterior divergences ⋮ Approximation of Bayesian predictive \(p\)-values with regression ABC ⋮ Joining and splitting models with Markov melding ⋮ Synthesising evidence to estimate pandemic (2009) A/H1N1 influenza severity in 2009--2011 ⋮ Uniformity of Node Level Conflict Measures in Bayesian Hierarchical Models Based on Directed Acyclic Graphs ⋮ Checking for model failure and for prior-data conflict with the constrained multinomial model ⋮ Using prior expansions for prior-data conflict checking ⋮ Detecting conflicting summary statistics in likelihood-free inference
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Bayesian checking of the second levels of hierarchical models
- Weak informativity and the information in one prior relative to another
- Bayesianly justifiable and relevant frequency calculations for the applied statistician
- Invariant \(P\)-values for model checking
- Relaxation penalties and priors for plausible modeling of nonidentified bias sources
- Bayesian analysis in expert systems. With comments and a rejoinder by the authors
- The control of the false discovery rate in multiple testing under dependency.
- A Graphical Diagnostic for Identifying Influential Model Choices in Bayesian Hierarchical Models
- Extensions of a Conflict Measure of Inconsistencies in Bayesian Hierarchical Models
- Diagnostics of prior-data agreement in applied Bayesian analysis
- Present Position and Potential Developments: Some Personal Views: Statistical Theory: The Prequential Approach
- Bayes Methods for Combining the Results of Cancer Studies in Humans and Other Species
- Posterior Predictive p‐values in Bayesian Hierarchical Models
- Bayesian Calibration of a Stochastic Kinetic Computer Model Using Multiple Data Sources
- Sampling and Bayes' Inference in Scientific Modelling and Robustness
- Bayesian ikference procedures derived via the concept of relative surprise
- Probabilistic Networks and Expert Systems
- P Values for Composite Null Models
- Asymptotic Distribution of P Values in Composite Null Models
- Bayesian Measures of Model Complexity and Fit
- Strictly Proper Scoring Rules, Prediction, and Estimation
- Assessing Evidence Inconsistency in Mixed Treatment Comparisons
- Post-Processing Posterior PredictivepValues
- Identifying outliers in Bayesian hierarchical models: a simulation-based approach
- Bayesian model assessment using pivotal quantities
- Bayesian robustness modeling using regularly varying distributions
- Checking for prior-data conflict
This page was built for publication: Conflict diagnostics in directed acyclic graphs, with applications in Bayesian evidence synthesis
