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ORCIDDavid J. Warne
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2020 – today
- 2024
[j11]Thomas P. Prescott, David J. Warne, Ruth E. Baker
:
Efficient multifidelity likelihood-free Bayesian inference with adaptive computational resource allocation. J. Comput. Phys. 496: 112577 (2024)- [j10]David J. Warne, Oliver J. Maclaren, Elliot J. Carr, Matthew J. Simpson, Christopher C. Drovandi:
Generalised likelihood profiles for models with intractable likelihoods. Stat. Comput. 34(1): 50 (2024) - [j9]Ryan P. Kelly, David J. Nott, David T. Frazier, David J. Warne, Christopher C. Drovandi:
Misspecification-robust Sequential Neural Likelihood for Simulation-based Inference. Trans. Mach. Learn. Res. 2024 (2024) - [i3]Xiaoyu Wang, Ryan P. Kelly, David J. Warne, Christopher C. Drovandi:
Preconditioned Neural Posterior Estimation for Likelihood-free Inference. CoRR abs/2404.13557 (2024) - 2023
- [j8]Thirunavukarasu Balasubramaniam, David J. Warne, Richi Nayak, Kerrie L. Mengersen:
Explainability of the COVID-19 epidemiological model with nonnegative tensor factorization. Int. J. Data Sci. Anal. 15(3): 267-280 (2023) - [i2]Ryan P. Kelly, David J. Nott, David T. Frazier, David J. Warne, Chris Drovandi:
Misspecification-robust Sequential Neural Likelihood. CoRR abs/2301.13368 (2023) - 2022
- [j7]David J. Warne, Ruth E. Baker, Matthew J. Simpson:
Rapid Bayesian Inference for Expensive Stochastic Models. J. Comput. Graph. Stat. 31(1): 512-528 (2022) - [j6]David J. Warne, Thomas P. Prescott, Ruth E. Baker, Matthew J. Simpson:
Multifidelity multilevel Monte Carlo to accelerate approximate Bayesian parameter inference for partially observed stochastic processes. J. Comput. Phys. 469: 111543 (2022) - [c2]Andrew Gill, David J. Warne, Clare McGrory, James M. McGree, Antony M. Overstall:
Robust Simulation Design for Generalized Linear Models in Conditions of Heteroscedasticity or Correlation. WSC 2022: 37-48
2010 – 2019
- 2019
- [i1]David J. Warne, Scott A. Sisson, Christopher C. Drovandi:
Acceleration of expensive computations in Bayesian statistics using vector operations. CoRR abs/1902.09046 (2019) - 2018
- [j5]David J. Warne, Ruth E. Baker, Matthew J. Simpson:
Multilevel rejection sampling for approximate Bayesian computation. Comput. Stat. Data Anal. 124: 71-86 (2018) - [j4]Duzgun Agdas, David J. Warne, Jorge Osio-Norgaard, Forrest J. Masters:
Utility of Genetic Algorithms for Solving Large-Scale Construction Time-Cost Trade-Off Problems. J. Comput. Civ. Eng. 32(1) (2018) - 2015
- [j3]David J. Warne, Ross F. Hayward:
The Dynamics of Cellular Automata on 2-Manifolds is Affected by Topology. J. Cell. Autom. 10(5-6): 319-339 (2015) - 2014
- [c1]David J. Warne, Neil A. Kelson, Ross F. Hayward:
Comparison of High Level FPGA Hardware Design for Solving Tri-diagonal Linear Systems. ICCS 2014: 95-101 - 2013
- [j2]David J. Warne, Ross F. Hayward, Neil A. Kelson, Dann G. Mallet:
An Efficient Algorithm for the Detection of Eden. Complex Syst. 22(4) (2013) - [j1]David J. Warne, Genevieve Larsen, Joseph Young, Malcolm E. Cox:
Image-based flow visualisation (IBFV) to enhance interpretation of complex flow patterns within a shallow tidal barrier estuary. Environ. Model. Softw. 47: 64-73 (2013)
Coauthor Index
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