Scalable Nonparametric Sampling from Multimodal Posteriors with the
Posterior Bootstrap

Scalable Nonparametric Sampling from Multimodal Posteriors with the Posterior Bootstrap

8 February 2019

Chris Holmes

Papers citing "Scalable Nonparametric Sampling from Multimodal Posteriors with the Posterior Bootstrap"

7 / 7 papers shown

Title
AI-Powered Bayesian Inference Veronika Rockova Sean O'Hagan 61 0 0 26 Feb 2025
A Semi-Bayesian Nonparametric Estimator of the Maximum Mean Discrepancy Measure: Applications in Goodness-of-Fit Testing and Generative Adversarial Networks Forough Fazeli Asl M. Zhang Lizhen Lin 39 1 0 05 Mar 2023
Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap Charita Dellaporta Jeremias Knoblauch Theodoros Damoulas F. Briol 46 42 0 09 Feb 2022
Annealed Leap-Point Sampler for Multimodal Target Distributions Nicholas G. Tawn M. Moores Gareth O. Roberts 30 5 0 24 Dec 2021
Asymptotics of cut distributions and robust modular inference using Posterior Bootstrap E. Pompe Pierre E. Jacob 23 14 0 21 Oct 2021
Robust Bayesian Inference for Discrete Outcomes with the Total Variation Distance Jeremias Knoblauch Lara Vomfell 28 7 0 26 Oct 2020
Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal Posteriors Yuling Yao Aki Vehtari Andrew Gelman 39 60 0 22 Jun 2020