Nott, David J.

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, David J. Nott, Frazier, David T. +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. Bayesian inference for misspecified generative models
   2023/05/15 by Nott, David J., Drovandi, Christopher, Frazier, David T. · 4 citations
   #FOS: Computer and information sciences #Methodology (stat.ME)
4. Checking for prior-data conflict using prior to posterior divergences
   2016/11/01 by Nott, David J., Wang, Xueou, Evans, Michael +1 · 2 citations
   #FOS: Computer and information sciences #Methodology (stat.ME)
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. Gaussian variational approximation with a factor covariance structure
   2017/01/12 by Ong, Victor M. -H., Nott, David J., Smith, Michael S. · 1 citation
   #FOS: Computer and information sciences #Methodology (stat.ME)
7. 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
8. High-dimensional copula variational approximation through transformation
   2019/04/16 by Smith, Michael Stanley, Loaiza-Maya, Ruben, Nott, David J. · 1 citation
   #Computation (stat.CO) #FOS: Computer and information sciences
9. Fast and Accurate Variational Inference for Models with Many Latent Variables
   2020/05/15 by Loaiza-Maya, Rubén, Smith, Michael Stanley, Nott, David J. +1 · 1 citation
   #62P20 #Econometrics (econ.EM) #FOS: Computer and information sciences #FOS: Economics and business #G.3 #Methodology (stat.ME)
10. Synthetic Likelihood in Misspecified Models: Consequences and Corrections
    2021/04/08 by Frazier, David T., Drovandi, Christopher, Nott, David J. · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Statistics Theory (math.ST)
11. Cutting feedback and modularized analyses in generalized Bayesian inference
    2022/02/21 by David T. Frazier, David J. Nott, Frazier, David T. +1 · 1 citation
    Mathematics · Computer Science · #Statistical Methods and Bayesian Inference #Bayesian Methods and Mixture Models #Bayesian Modeling and Causal Inference
12. Robust Bayesian inference in complex models with possibility theory
    2022/04/14 by Houssineau, Jeremie, Nott, David J. · 2 citations
    #FOS: Computer and information sciences #Methodology (stat.ME)
13. Cutting Feedback in Misspecified Copula Models
    2023/10/05 by Smith, Michael Stanley, Yu, Weichang, Nott, David J. +1 · 1 citation
    #Econometrics (econ.EM) #FOS: Computer and information sciences #FOS: Economics and business #FOS: Mathematics #Methodology (stat.ME) #Statistics Theory (math.ST)