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Robust Bayesian Synthetic Likelihood via a Semi-Parametric Approach

16 September 2018

Ziwen An

David J. Nott

Christopher C. Drovandi

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Papers citing "Robust Bayesian Synthetic Likelihood via a Semi-Parametric Approach"

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Title
Wasserstein Gaussianization and Efficient Variational Bayes for Robust Bayesian Synthetic Likelihood Nhat-Minh Nguyen Minh-Ngoc Tran Christopher C. Drovandi David J. Nott 36 1 0 24 May 2023
Bayesian Synthetic Likelihood David T. Frazier Christopher C. Drovandi David J. Nott 191 220 0 09 May 2023
Better Together: pooling information in likelihood-free inference David T. Frazier Christopher C. Drovandi David J. Nott 65 1 0 05 Dec 2022
Likelihood-Free Inference with Generative Neural Networks via Scoring Rule Minimization Lorenzo Pacchiardi Ritabrata Dutta TPM BDL UQCV GAN 279 18 0 31 May 2022
Weakly informative priors and prior-data conflict checking for likelihood-free inference Atlanta Chakraborty David J. Nott Michael Evans 55 4 0 21 Feb 2022
Population Calibration using Likelihood-Free Bayesian Inference Christopher C. Drovandi Brodie A. J. Lawson A. Jenner A. Browning 51 2 0 04 Feb 2022
Multifidelity multilevel Monte Carlo to accelerate approximate Bayesian parameter inference for partially observed stochastic processes D. Warne Thomas P. Prescott Ruth Baker Matthew J. Simpson 58 16 0 26 Oct 2021
Warped Gradient-Enhanced Gaussian Process Surrogate Models for Exponential Family Likelihoods with Intractable Normalizing Constants Quan Vu M. Moores A. Zammit‐Mangion 61 1 0 10 May 2021
Synthetic Likelihood in Misspecified Models: Consequences and Corrections David T. Frazier Christopher C. Drovandi David J. Nott 67 10 0 08 Apr 2021
A Comparison of Likelihood-Free Methods With and Without Summary Statistics Christopher C. Drovandi David T. Frazier 82 35 0 03 Mar 2021
Score Matched Neural Exponential Families for Likelihood-Free Inference Lorenzo Pacchiardi Ritabrata Dutta 223 28 0 20 Dec 2020
Transformations in Semi-Parametric Bayesian Synthetic Likelihood Jacob W. Priddle Christopher C. Drovandi 13 2 0 03 Jul 2020
Efficient Bayesian synthetic likelihood with whitening transformations Jacob W. Priddle Scott A. Sisson David T. Frazier Christopher C. Drovandi 71 18 0 11 Sep 2019
A review of Approximate Bayesian Computation methods via density estimation: inference for simulator-models C. Grazian Yanan Fan TPM 51 22 0 06 Sep 2019
Finding our Way in the Dark: Approximate MCMC for Approximate Bayesian Methods Evgeny Levi Radu V. Craiu 62 6 0 16 May 2019
Parallel Gaussian process surrogate Bayesian inference with noisy likelihood evaluations Marko Jarvenpaa Michael U. Gutmann Aki Vehtari Pekka Marttinen 110 41 0 03 May 2019
Robust Approximate Bayesian Inference with Synthetic Likelihood David T. Frazier Christopher C. Drovandi 73 45 0 09 Apr 2019
Bayesian inference using synthetic likelihood: asymptotics and adjustments David T. Frazier David J. Nott Christopher C. Drovandi Robert Kohn 84 41 0 13 Feb 2019
ABCpy: A High-Performance Computing Perspective to Approximate Bayesian Computation Ritabrata Dutta Marcel Schoengens Lorenzo Pacchiardi Avinash Ummadisingu Nicole Widmer Pierre Künzli J. Onnela Antonietta Mira 65 25 0 13 Nov 2017
Bayesian inference for stochastic differential equation mixed effects models of a tumor xenography study Umberto Picchini J. Forman 51 24 0 09 Jul 2016