David Nott
National University of Singapore
H-index: 35
Asia-Singapore
Top articles of David Nott
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Model-Free Local Recalibration of Neural Networks | arXiv preprint arXiv:2403.05756 | R Torres DJ Nott SA Sisson T Rodrigues JG Reis | 2024/3/9 |
Improving the accuracy of marginal approximations in likelihood-free inference via localization | Journal of Computational and Graphical Statistics | Christopher Drovandi David J Nott David T Frazier | 2024/1/2 |
Structured variational approximations with skew normal decomposable graphical models and implicit copulas | Journal of Computational and Graphical Statistics | Robert Salomone Xuejun Yu David J Nott Robert Kohn | 2024/2/14 |
Regression Copulas for Multivariate Responses | arXiv preprint arXiv:2401.11804 | Nadja Klein Michael Stanley Smith David Nott Ryan Chrisholm | 2024/1/22 |
Modularized Bayesian analyses and cutting feedback in likelihood-free inference | Statistics and Computing | Atlanta Chakraborty David J Nott Christopher C Drovandi David T Frazier Scott A Sisson | 2023/2 |
Wasserstein Gaussianization and Efficient Variational Bayes for Robust Bayesian Synthetic Likelihood | arXiv preprint arXiv:2305.14746 | Nhat-Minh Nguyen Minh-Ngoc Tran Christopher Drovandi David Nott | 2023/5/24 |
Misspecification-robust sequential neural likelihood | arXiv preprint arXiv:2301.13368 | Ryan P Kelly David J Nott David T Frazier David J Warne Chris Drovandi | 2023/1/31 |
Variational inference for cutting feedback in misspecified models | Statistical Science | Xuejun Yu David J Nott Michael Stanley Smith | 2023/8 |
Cutting Feedback in Misspecified Copula Models | arXiv preprint arXiv:2310.03521 | Michael Stanley Smith Weichang Yu David J Nott David Frazier | 2023/10/5 |
Bayesian inference for misspecified generative models | David J Nott Christopher Drovandi David T Frazier | 2023/5/15 | |
Flexible Variational Bayes based on a Copula of a Mixture | Journal of Computational and Graphical Statistics | David Gunawan Robert Kohn David Nott | 2023/11/21 |
Dropout Regularization in Extended Generalized Linear Models based on Double Exponential Families | arXiv preprint arXiv:2305.06625 | Benedikt Lütke Schwienhorst Lucas Kock David J Nott Nadja Klein | 2023/5/11 |
Deep distributional time series models and the probabilistic forecasting of intraday electricity prices | Journal of Applied Econometrics | Nadja Klein Michael Stanley Smith David J Nott | 2023/6 |
Bayesian Synthetic Likelihood | Journal of Computational and Graphical Statistics | Leah F Price Christopher C Drovandi Anthony Lee David J Nott | 2018 |
Bayesian inference using synthetic likelihood: asymptotics and adjustments | arXiv preprint arXiv:1902.04827 | David T Frazier David J Nott Christopher Drovandi Robert Kohn | 2019/2 |
Deep mixture of linear mixed models for complex longitudinal data | arXiv preprint arXiv:2311.07156 | Lucas Kock Nadja Klein David J Nott | 2023/11/13 |
Fast and accurate variational inference for models with many latent variables | Journal of Econometrics | Rubén Loaiza-Maya Michael Stanley Smith David J Nott Peter J Danaher | 2022/10/1 |
Robust Bayesian inference in complex models with possibility theory | arXiv preprint arXiv:2204.06911 | Jeremie Houssineau David J Nott | 2022/4/14 |
Cutting feedback and modularized analyses in generalized Bayesian inference | arXiv preprint arXiv:2202.09968 | David T Frazier David J Nott | 2022/2/21 |
Better Together: pooling information in likelihood-free inference | arXiv preprint arXiv:2212.02658 | David T Frazier Christopher Drovandi David J Nott | 2022/12/5 |
