6 citations · 12 across the 2 of their papers we have counts for
3 papers
stat.ME2021★ 6 cited
Asymptotics of cut distributions and robust modular inference using Posterior Bootstrap
Emilia Pompe, Mikołaj J. Kasprzak, Pierre E. Jacob
Bayesian inference provides a framework to combine various model components with shared parameters, allowing joint uncertainty estimation and the use of all available data sources.…
stat.ME2021★ 6 cited
Introducing prior information in Weighted Likelihood Bootstrap with applications to model misspecification
Emilia Pompe
We propose Posterior Bootstrap, a set of algorithms extending Weighted Likelihood Bootstrap, to properly incorporate prior information and address the problem of model misspecifica…
stat.CO2019
A Framework for Adaptive MCMC Targeting Multimodal Distributions
Emilia Pompe, Chris Holmes, Krzysztof Łatuszyński
We propose a new Monte Carlo method for sampling from multimodal distributions. The idea of this technique is based on splitting the task into two: finding the modes of a target di…