David T. Frazier

13 papers Journal 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Loss-Based Variational Bayes Prediction. J. Comput. Graph. Stat. David T. Frazier, Ruben Loaiza-Maya, Gael M. Martin, Bonsoo Koo
2025	J	`jnl`	Simulation-based Bayesian inference under model misspecification. CoRR Ryan P. Kelly, David J. Warne, David T. Frazier, David J. Nott, Michael U. Gutmann, Christopher C. Drovandi
2024	J	`jnl`	Improving the Accuracy of Marginal Approximations in Likelihood-Free Inference via Localization. J. Comput. Graph. Stat. Christopher C. Drovandi, David J. Nott, David T. Frazier
2024	J	`jnl`	Misspecification-robust Sequential Neural Likelihood for Simulation-based Inference. Trans. Mach. Learn. Res. Ryan P. Kelly, David J. Nott, David T. Frazier, David J. Warne, Christopher C. Drovandi
2024	J	`jnl`	Testing Model Specification in Approximate Bayesian Computation Using Asymptotic Properties. J. Comput. Graph. Stat. Andrés Ramírez-Hassan, David T. Frazier
2024	J	`jnl`	The Statistical Accuracy of Neural Posterior and Likelihood Estimation. CoRR David T. Frazier, Ryan P. Kelly, Christopher C. Drovandi, David J. Warne
2023	J	`jnl`	Misspecification-robust Sequential Neural Likelihood. CoRR Ryan P. Kelly, David J. Nott, David T. Frazier, David J. Warne, Chris Drovandi
2023	J	`jnl`	Modularized Bayesian analyses and cutting feedback in likelihood-free inference. Stat. Comput. Atlanta Chakraborty, David J. Nott, Christopher C. Drovandi, David T. Frazier, Scott A. Sisson
2023	J	`jnl`	Variational Bayes in State Space Models: Inferential and Predictive Accuracy. J. Comput. Graph. Stat. David T. Frazier, Ruben Loaiza-Maya, Gael M. Martin
2022	J	`jnl`	A comparison of likelihood-free methods with and without summary statistics. Stat. Comput. Christopher C. Drovandi, David T. Frazier
2022	J	`jnl`	Efficient Bayesian Synthetic Likelihood With Whitening Transformations. J. Comput. Graph. Stat. Jacob W. Priddle, Scott A. Sisson, David T. Frazier, Ian W. Turner, Christopher C. Drovandi
2021	J	`jnl`	Robust Approximate Bayesian Inference With Synthetic Likelihood. J. Comput. Graph. Stat. David T. Frazier, Christopher C. Drovandi
2020	J	`jnl`	Forecasting: theory and practice. CoRR 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, Jennifer L. Castle, Pasquale Cirillo, Michael P. Clements, Clara Cordeiro, Fernando Luiz Cyrino Oliveira, Shari De Baets, Alexander Dokumentov, Joanne Ellison, Piotr Fiszeder, Philip Hans Franses, David T. Frazier, Michael Gilliland, Mustafa Sinan Gönül, Paul Goodwin, Luigi Grossi, Yael Grushka-Cockayne, Mariangela Guidolin, Massimo Guidolin, Ulrich Gunter, Xiaojia Guo, Renato Guseo, Nigel Harvey, David F. Hendry, Ross Hollyman, Tim Januschowski, Jooyoung Jeon, Victor Richmond R. Jose, Yanfei Kang, Anne B. Koehler, Stephan Kolassa, Nikolaos Kourentzes, Sonia Leva, Feng Li