207 citations · 570 across the 16 of their papers we have counts for
18 papers
On the Stability of General Bayesian Inference
Jack Jewson, Jim Q. Smith, Chris Holmes
We study the stability of posterior predictive inferences to the specification of the likelihood model and perturbations of the data generating process. In modern big data analyses…
Bayesian Lesion Estimation with a Structured Spike-and-Slab Prior
Anna Menacher, Thomas E. Nichols, Chris Holmes +1
Neural demyelination and brain damage accumulated in white matter appear as hyperintense areas on T2-weighted MRI scans in the form of lesions. Modeling binary images at the popula…
Quasi-Bayesian Nonparametric Density Estimation via Autoregressive Predictive Updates
Sahra Ghalebikesabi, Chris Holmes, Edwin Fong +1
Bayesian methods are a popular choice for statistical inference in small-data regimes due to the regularization effect induced by the prior. In the context of density estimation, t…
Conformal Bayesian Computation
Edwin Fong, Chris Holmes
We develop scalable methods for producing conformal Bayesian predictive intervals with finite sample calibration guarantees. Bayesian posterior predictive distributions, $p(y \mid…
Martingale posterior distributions
Edwin Fong, Chris Holmes, Stephen G. Walker
The prior distribution on parameters of a sampling distribution is the usual starting point for Bayesian uncertainty quantification. In this paper, we present a different perspecti…
Foundations of Bayesian Learning from Synthetic Data
Harrison Wilde, Jack Jewson, Sebastian Vollmer +1
There is significant growth and interest in the use of synthetic data as an enabler for machine learning in environments where the release of real data is restricted due to privacy…