2 citations · 4 across the 5 of their papers we have counts for
5 papers
Moment Propagation
John Ormerod, Weichang Yu, Mohammad Javad Davoudabadi +1
Mean-field variational Bayes is a fast and scalable approach to approximate Bayesian inference, but its independence assumptions often lead to underestimated posterior uncertainty.…
Non-stationary Gaussian process discriminant analysis with variable selection for high-dimensional functional data
W Yu, S Wade, H D Bondell +1
High-dimensional classification and feature selection tasks are ubiquitous with the recent advancement in data acquisition technology. In several application areas such as biology,…
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…
Variational Nonparametric Discriminant Analysis
Weichang Yu, Lamiae Azizi, John T. Ormerod
Variable selection and classification are common objectives in the analysis of high-dimensional data. Most such methods make distributional assumptions that may not be compatible w…
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…