Judicious judgment meets unsettling updating: dilation, sure loss and Simpson's paradox
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Publication:2038293
DOI10.1214/19-STS765MaRDI QIDQ2038293
Publication date: 6 July 2021
Published in: Statistical Science (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1712.08946
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Cites Work
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- Coherent updating of non-additive measures
- Allocations of probability
- The reliability of reasoning with unreliable arguments
- Demystifying dilation
- Reasoning with belief functions: An analysis of compatibility
- Bayesian and non-Bayesian evidential updating
- On the Dempster-Shafer framework and new combination rules
- Ignorability and coarse data
- On using random relations to generate upper and lower probabilities
- On random sets and belief functions
- Belief functions: The disjunctive rule of combination and the generalized Bayesian theorem
- Dilation for sets of probabilities
- Bayes' theorem for Choquet capacities
- A note on Dempster-Shafer recombination of confidence distributions
- Classic works on the Dempster-Shafer theory of belief functions
- Minimax tests and the Neyman-Pearson lemma for capacities
- Confidence, Likelihood, Probability
- Conditional Probability
- SPECIALIZATION—A NEW CONCEPT FOR UNCERTAINTY HANDLING WITH BELIEF FUNCTIONS
- Bayesian updating and belief functions
- Inference and missing data
- Ignorability in general incomplete-data models
- Confidence Distribution, the Frequentist Distribution Estimator of a Parameter: A Review
- I Got More Data, My Model is More Refined, but My Estimator is Getting Worse! Am I Just Dumb?
- Satellite conjunction analysis and the false confidence theorem
- Upper and Lower Probabilities Induced by a Multivalued Mapping
- On Simpson's Paradox and the Sure-Thing Principle
- Comment: A Fruitful Resolution to Simpson’s Paradox via Multiresolution Inference
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