David J. Warne
- The Statistical Accuracy of Neural Posterior and Likelihood Estimation
2024/11/18 by David T. Frazier, Ryan Kelly, Ryan P. Kelly +6 · 2 voices · 6 citations
Computer Science · #Neural Networks and Applications #cs.LG #math.ST #stat.CO #stat.ML
- A practical guide to pseudo-marginal methods for computational inference in systems biology
2020/03/26 by David J. Warne, Ruth E. Baker, Matthew J. Simpson · 3 citations
Mathematics · Biochemistry, Genetics and Molecular Biology · Computer Science · #Markov Chains and Monte Carlo Methods #Gene Regulatory Network Analysis #Gaussian Processes and Bayesian Inference
- Simulation-based Bayesian inference under model misspecification
2025/03/16 by Ryan P. Kelly, David J. Warne, Kelly, Ryan P. +9 · 1 voice · 4 citations
#stat.ME #cs.LG #stat.CO #stat.ML
- Beyond expected values: Making environmental decisions using value of information analysis when measurement outcome matters
2023/09/18 by Morenikeji D. Akinlotan, David J. Warne, Kate J. Helmstedt +5 · 1 voice · 1 citation
Mathematics · #stat.AP #stat.ME
- A Comprehensive Guide to Simulation-based Inference in Computational Biology
2024/09/29 by Xiaoyu Wang, Wang, Xiaoyu, Ryan P. Kelly +7 · 1 citation
Biochemistry, Genetics and Molecular Biology · Decision Sciences · #Applications (stat.AP) #FOS: Biological sciences #FOS: Computer and information sciences #Genetics, Bioinformatics, and Biomedical Research #Machine Learning (stat.ML) #Quantitative Methods (q-bio.QM) #Scientific Computing and Data Management
- Preconditioned Neural Posterior Estimation for Likelihood-free Inference
2024/04/21 by Xiaoyu Wang, Wang, Xiaoyu, Ryan P. Kelly +5 · 1 citation
Earth and Planetary Sciences · Engineering · #FOS: Computer and information sciences #Geophysical Methods and Applications #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Seismic Imaging and Inversion Techniques #Underwater Acoustics Research