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Christopher Drovandi

  1. Bayesian Synthetic Likelihood
    2023/05/09 by David T. Frazier, Frazier, David T., Christopher Drovandi +3 · 10 citations
    Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Methodology (stat.ME) #Statistical Methods and Bayesian Inference
  2. Bayesian inference using synthetic likelihood: asymptotics and adjustments
    2019/02/13 by David T. Frazier, Frazier, David T., David J. Nott +5 · 5 citations
    Computer Science · Mathematics · #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Markov Chains and Monte Carlo Methods #Statistical Methods and Bayesian Inference
  3. The Statistical Accuracy of Neural Posterior and Likelihood Estimation
    2024/11/18 by David T. Frazier, Ryan P. Kelly, Frazier, David T. +6 · 2 voices · 6 citations
    Computer Science · #Neural Networks and Applications #cs.LG #math.ST #stat.CO #stat.ML
  4. Unbiased and Consistent Nested Sampling via Sequential Monte Carlo
    2018/05/10 by Robert Salomone, Salomone, Robert, Leah F. South +7 · 3 voices · 2 citations
    #stat.CO
  5. 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
  6. Monte Carlo twisting for particle filters
    2022/08/08 by Joshua J. Bon, Christopher Drovandi, Bon, Joshua J +3 · 2 citations
    Computer Science · Environmental Science · #Computation (stat.CO) #FOS: Computer and information sciences #Hydrological Forecasting Using AI #Hydrology and Drought Analysis #Methodology (stat.ME) #Target Tracking and Data Fusion in Sensor Networks
  7. A Semi-Automatic Method for History Matching using Sequential Monte\n Carlo
    2017/10/09 by Christopher Drovandi, Drovandi, Christopher C, David J. Nott +3 · 1 citation
    Engineering · Decision Sciences · #Reservoir Engineering and Simulation Methods #Nuclear reactor physics and engineering #Forecasting Techniques and Applications
  8. Robust Bayesian Synthetic Likelihood via a Semi-Parametric Approach
    2018/09/16 by Ziwen An, An, Ziwen, David J. Nott +3 · 1 citation
    Mathematics · Computer Science · #Markov Chains and Monte Carlo Methods #Statistical Methods and Bayesian Inference #Bayesian Methods and Mixture Models
  9. Sequential Bayesian Experimental Design for Implicit Models via Mutual\n Information
    2020/03/20 by Steven Kleinegesse, Christopher Drovandi, Kleinegesse, Steven +3 · 1 citation
    Computer Science · Decision Sciences · #62K05 #62L05 #Advanced Multi-Objective Optimization Algorithms #Advanced Statistical Process Monitoring #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Optimal Experimental Design Methods
  10. A Comparison of Likelihood-Free Methods With and Without Summary Statistics
    2021/03/03 by Christopher Drovandi, David T. Frazier, Drovandi, Christopher +1 · 1 citation
    Mathematics · Computer Science · #Statistical Methods and Bayesian Inference #Gaussian Processes and Bayesian Inference #Statistical Methods in Clinical Trials
  11. Approximating the Likelihood in Approximate Bayesian Computation
    2018/03/18 by Christopher Drovandi, Clara Grazian, Drovandi, Christopher C +5 · 1 citation
    Mathematics · Computer Science · #Markov Chains and Monte Carlo Methods #Bayesian Methods and Mixture Models #Statistical Methods and Inference
  12. Adaptively switching between a particle marginal Metropolis-Hastings and a particle Gibbs kernel in SMC2
    2023/07/21 by Imke Botha, Botha, Imke, Robert Kohn +5 · 1 citation
    Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #Markov Chains and Monte Carlo Methods #Statistical Methods and Bayesian Inference
  13. Regularized Zero-Variance Control Variates
    2018/11/13 by Leah F. South, Chris J. Oates, South, Leah F. +5 · 1 citation
    Mathematics · #Advanced Statistical Methods and Models #Computation (stat.CO) #FOS: Computer and information sciences #Methodology (stat.ME) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
  14. A Comprehensive Guide to Simulation-based Inference in Computational Biology
    2024/09/29 by Xiaoyu Wang, Ryan P. Kelly, Wang, Xiaoyu +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
  15. Preconditioned Neural Posterior Estimation for Likelihood-free Inference
    2024/04/21 by Xiaoyu Wang, Ryan P. Kelly, Wang, Xiaoyu +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