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01/21/2023
How to Measure Evidence: Bayes Factors or Relative Belief Ratios?
Both the Bayes factor and the relative belief ratio satisfy the principl...
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02/21/2022
Weakly informative priors and prior-data conflict checking for likelihood-free inference
Bayesian likelihood-free inference, which is used to perform Bayesian in...
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02/20/2022
On Resolving Problems with Conditionality and Its Implications for Characterizing Statistical Evidence
The conditionality principle C plays a key role in attempts to character...
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02/07/2022
Combining Evidence
The problem of combining the evidence concerning an unknown, contained i...
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09/11/2021
On Some Problems of Confidence Region Construction
The general problem of constructing confidence regions is unsolved in th...
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03/01/2021
ROC Analyses Based on Measuring Evidence
ROC analyses are considered under a variety of assumptions concerning th...
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10/15/2020
Detecting conflicting summary statistics in likelihood-free inference
Bayesian likelihood-free methods implement Bayesian inference using simu...
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06/22/2019
The Measurement of Statistical Evidence as the Basis for Statistical Reasoning
There are various approaches to the problem of how one is supposed to co...
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03/05/2019
Measuring and Controlling Bias for Some Bayesian Inferences and the Relation to Frequentist Criteria
A common concern with Bayesian methodology in scientific contexts is tha...
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02/27/2019
Using prior expansions for prior-data conflict checking
Any Bayesian analysis involves combining information represented through...
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08/21/2018
Very strong evidence in favor of quantum mechanics and against local hidden variables from a Bayesian analysis
The data of four recent experiments --- conducted in Delft, Vienna, Boul...
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04/18/2018
Checking the Model and the Prior for the Constrained Multinomial
The multinomial model is one of the simplest statistical models. When co...
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02/17/2018
