David J. Warne

21 papers Misc 2Journal 19

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Bayesian Score Calibration for Approximate Models. J. Mach. Learn. Res. Joshua J. Bon, David J. Warne, David J. Nott, Christopher C. Drovandi
2025	J	`jnl`	Simulation and inference methods for non-Markovian stochastic biochemical reaction networks. CoRR Thomas P. Steele, David J. Warne
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`	Efficient multifidelity likelihood-free Bayesian inference with adaptive computational resource allocation. J. Comput. Phys. Thomas P. Prescott, David J. Warne, Ruth E. Baker
2024	J	`jnl`	Generalised likelihood profiles for models with intractable likelihoods. Stat. Comput. David J. Warne, Oliver J. Maclaren, Elliot J. Carr, Matthew J. Simpson, Christopher C. Drovandi
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`	Preconditioned Neural Posterior Estimation for Likelihood-free Inference. CoRR Xiaoyu Wang, Ryan P. Kelly, David J. Warne, Christopher C. Drovandi
2024	J	`jnl`	Preconditioned Neural Posterior Estimation for Likelihood-free Inference. Trans. Mach. Learn. Res. Xiaoyu Wang, Ryan P. Kelly, David J. Warne, Christopher C. Drovandi
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`	Explainability of the COVID-19 epidemiological model with nonnegative tensor factorization. Int. J. Data Sci. Anal. Thirunavukarasu Balasubramaniam, David J. Warne, Richi Nayak, Kerrie L. Mengersen
2023	J	`jnl`	Misspecification-robust Sequential Neural Likelihood. CoRR Ryan P. Kelly, David J. Nott, David T. Frazier, David J. Warne, Chris Drovandi
2022	J	`jnl`	Multifidelity multilevel Monte Carlo to accelerate approximate Bayesian parameter inference for partially observed stochastic processes. J. Comput. Phys. David J. Warne, Thomas P. Prescott, Ruth E. Baker, Matthew J. Simpson
2022	J	`jnl`	Rapid Bayesian Inference for Expensive Stochastic Models. J. Comput. Graph. Stat. David J. Warne, Ruth E. Baker, Matthew J. Simpson
2022	Misc	`conf`	Robust Simulation Design for Generalized Linear Models in Conditions of Heteroscedasticity or Correlation. WSC Andrew Gill, David J. Warne, Clare McGrory, James M. McGree, Antony M. Overstall
2019	J	`jnl`	Acceleration of expensive computations in Bayesian statistics using vector operations. CoRR David J. Warne, Scott A. Sisson, Christopher C. Drovandi
2018	J	`jnl`	Multilevel rejection sampling for approximate Bayesian computation. Comput. Stat. Data Anal. David J. Warne, Ruth E. Baker, Matthew J. Simpson
2018	J	`jnl`	Utility of Genetic Algorithms for Solving Large-Scale Construction Time-Cost Trade-Off Problems. J. Comput. Civ. Eng. Duzgun Agdas, David J. Warne, Jorge Osio-Norgaard, Forrest J. Masters
2015	J	`jnl`	The Dynamics of Cellular Automata on 2-Manifolds is Affected by Topology. J. Cell. Autom. David J. Warne, Ross F. Hayward
2014	Misc	`conf`	Comparison of High Level FPGA Hardware Design for Solving Tri-diagonal Linear Systems. ICCS David J. Warne, Neil A. Kelson, Ross F. Hayward
2013	J	`jnl`	An Efficient Algorithm for the Detection of Eden. Complex Syst. David J. Warne, Ross F. Hayward, Neil A. Kelson, Dann G. Mallet
2013	J	`jnl`	Image-based flow visualisation (IBFV) to enhance interpretation of complex flow patterns within a shallow tidal barrier estuary. Environ. Model. Softw. David J. Warne, Genevieve Larsen, Joseph Young, Malcolm E. Cox