Forecasting: theory and practice. - Fotios Petropoulos; Daniele Apiletti; Vassilios Assimakopoulos; Mohamed Zied Babai; Devon K. Barrow; Souhaib Ben Taieb; Christoph Bergmeir; Ricardo J. Bessa; Jakub Bijak; John E. Boylan; Jethro Browell; Claudio Carnevale; et al. (CoRR, 2020)

Robust Approximate Bayesian Inference With Synthetic Likelihood. - David T. Frazier; Christopher C. Drovandi (J. Comput. Graph. Stat., 2021)

Efficient Bayesian Synthetic Likelihood With Whitening Transformations. - Jacob W. Priddle; Scott A. Sisson; David T. Frazier; Ian W. Turner; Christopher C. Drovandi (J. Comput. Graph. Stat., 2022)

A comparison of likelihood-free methods with and without summary statistics. - Christopher C. Drovandi; David T. Frazier (Stat. Comput., 2022)

Misspecification-robust Sequential Neural Likelihood. - Ryan P. Kelly; David J. Nott; David T. Frazier; David J. Warne; Chris Drovandi (CoRR, 2023)

Variational Bayes in State Space Models: Inferential and Predictive Accuracy. - David T. Frazier; Ruben Loaiza-Maya; Gael M. Martin (J. Comput. Graph. Stat., 2023)

Modularized Bayesian analyses and cutting feedback in likelihood-free inference. - Atlanta Chakraborty; David J. Nott; Christopher C. Drovandi; David T. Frazier; Scott A. Sisson (Stat. Comput., 2023)

The Statistical Accuracy of Neural Posterior and Likelihood Estimation. - David T. Frazier; Ryan P. Kelly; Christopher C. Drovandi; David J. Warne (CoRR, 2024)

Improving the Accuracy of Marginal Approximations in Likelihood-Free Inference via Localization. - Christopher C. Drovandi; David J. Nott; David T. Frazier (J. Comput. Graph. Stat., 2024)

Testing Model Specification in Approximate Bayesian Computation Using Asymptotic Properties. - Andrés Ramírez-Hassan; David T. Frazier (J. Comput. Graph. Stat., 2024)

Misspecification-robust Sequential Neural Likelihood for Simulation-based Inference. - Ryan P. Kelly; David J. Nott; David T. Frazier; David J. Warne; Christopher C. Drovandi (Trans. Mach. Learn. Res., 2024)

Loss-Based Variational Bayes Prediction. - David T. Frazier; Ruben Loaiza-Maya; Gael M. Martin; Bonsoo Koo (J. Comput. Graph. Stat., 2025)

Simulation-based Bayesian inference under model misspecification. - Ryan P. Kelly; David J. Warne; David T. Frazier; David J. Nott; Michael U. Gutmann; Christopher C. Drovandi (CoRR, 2025)