20 citations · 26 across the 4 of their papers we have counts for
4 papers
Asymptotics for Markov chain mixture detection
Matthew Fitzpatrick, Michael I. Stewart
Sufficient conditions are provided under which the log-likelihood ratio test statistic fails to have a limiting chi-squared distribution under the null hypothesis when testing betw…
Variational Discriminant Analysis with Variable Selection
Weichang Yu, John T. Ormerod, Michael Stewart
A fast Bayesian method that seamlessly fuses classification and hypothesis testing via discriminant analysis is developed. Building upon the original discriminant analysis classifi…
Bayesian hypothesis tests with diffuse priors: Can we have our cake and eat it too?
John T. Ormerod, Michael Stewart, Weichang Yu +1
We introduce a new class of priors for Bayesian hypothesis testing, which we name "cake priors". These priors circumvent Bartlett's paradox (also called the Jeffreys-Lindley parado…
Maximum likelihood estimation of a multidimensional log-concave density
Madeleine Cule, Richard Samworth, Michael Stewart
Let X_1, ..., X_n be independent and identically distributed random vectors with a log-concave (Lebesgue) density f. We first prove that, with probability one, there exists a uniqu…