Recalibration: A post-processing method for approximate Bayesian computation

21 April 2017

Papers citing "Recalibration: A post-processing method for approximate Bayesian computation"

10 / 10 papers shown

Title
Calibrated Multivariate Regression with Localized PIT Mappings Lucas Kock G. S. Rodrigues Scott A. Sisson Nadja Klein David J. Nott 96 0 0 17 Sep 2024
Model-Free Local Recalibration of Neural Networks R. Torres David J. Nott Scott A. Sisson T. Rodrigues J. G. Reis G. S. Rodrigues 171 1 0 09 Mar 2024
Bayesian score calibration for approximate models Joshua J. Bon D. Warne David J. Nott Christopher C. Drovandi 76 3 0 10 Nov 2022
Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for Approximate Bayesian Inference Luca Rendsburg Agustinus Kristiadi Philipp Hennig U. V. Luxburg 72 2 0 07 Mar 2022
Distortion estimates for approximate Bayesian inference Hanwen Xing Geoff K. Nicholls J. Lee 40 7 0 19 Jun 2020
Assessment and adjustment of approximate inference algorithms using the law of total variance Xue Yu David J. Nott Minh-Ngoc Tran Nadja Klein 74 15 0 20 Nov 2019
Likelihood-free approximate Gibbs sampling G. S. Rodrigues David J. Nott Scott A. Sisson 88 25 0 11 Jun 2019
Vector operations for accelerating expensive Bayesian computations -- a tutorial guide D. Warne Scott A. Sisson Christopher Drovandi Queensland University of Technology 64 4 0 25 Feb 2019
Calibration procedures for approximate Bayesian credible sets J. Lee Geoff K. Nicholls Robin J. Ryder 63 13 0 15 Oct 2018
Model Misspecification in ABC: Consequences and Diagnostics David T. Frazier Christian P. Robert Judith Rousseau 73 27 0 07 Aug 2017