2 papers
stat.ME2022
Weakly informative priors and prior-data conflict checking for likelihood-free inference
Atlanta Chakraborty, David J. Nott, Michael Evans
Bayesian likelihood-free inference, which is used to perform Bayesian inference when the likelihood is intractable, enjoys an increasing number of important scientific applications…
quant-ph2018
Very strong evidence in favor of quantum mechanics and against local hidden variables from a Bayesian analysis
Yanwu Gu, Weijun Li, Michael Evans +1
The data of four recent experiments --- conducted in Delft, Vienna, Boulder, and Munich with the aim of refuting nonquantum hidden-variables alternatives to the quantum-mechanical…