46 citations · 121 across the 18 of their papers we have counts for
7 papers · 1 filter
Detecting conflicting summary statistics in likelihood-free inference
Yinan Mao, Xueou Wang, David J. Nott +1
Bayesian likelihood-free methods implement Bayesian inference using simulation of data from the model to substitute for intractable likelihood evaluations. Most likelihood-free inf…
Using prior expansions for prior-data conflict checking
David J. Nott, Max Seah, Luai Al-Labadi +3
Any Bayesian analysis involves combining information represented through different model components, and when different sources of information are in conflict it is important to de…
Elicitation, measuring bias, checking for prior-data conflict and inference with a Dirichlet prior
Michael Evans, Irwin Guttman, Peiying Li
Methods are developed for eliciting a Dirichlet prior based upon bounds on the individual probabilities that hold with virtual certainty. This approach to selecting a prior is appl…
Checking for prior-data conflict using prior to posterior divergences
David J. Nott, Xueou Wang, Michael Evans +1
When using complex Bayesian models to combine information, the checking for consistency of the information being combined is good statistical practice. Here a new method is develop…
Prior based model checking
Luai Al-Labadi, Michael Evans
Model checking procedures are considered based on the use of the Dirichlet process and relative belief. This combination is seen to lead to some unique advantages for this problem.…
Discussion of "On the Birnbaum Argument for the Strong Likelihood Principle"
Michael Evans
We discuss Birnbaum's result, its relevance to statistical reasoning, Mayo's objections and the result in [Electron. J. Statist. 7 (2013) 2645-2655] that the proof of this result d…