| Gaussian variational approximation with sparse precision matrices LSL Tan, DJ Nott Statistics and Computing 28 (2), 259–275, 2016 | 78 | 2016 |
| Regression density estimation with variational methods and stochastic approximation DJ Nott, SL Tan, M Villani, R Kohn Journal of Computational and Graphical Statistics 21 (3), 797-820, 2012 | 60 | 2012 |
| Variational inference for generalized linear mixed models using partially noncentered parametrizations LSL Tan, DJ Nott | 58 | 2013 |
| Bayesian inference for multiple Gaussian graphical models with application to metabolic association networks LSL Tan, A Jasra, M De Iorio, TMD Ebbels | 47 | 2017 |
| A stochastic variational framework for fitting and diagnosing generalized linear mixed models LSL Tan, DJ Nott | 30 | 2014 |
| Use of model reparametrization to improve variational Bayes LSL Tan Journal of the Royal Statistical Society: Series B 83 (1), 30-57, 2021 | 25 | 2021 |
| Bayesian variational inference for exponential random graph models LSL Tan, N Friel Journal of Computational and Graphical Statistics 29 (4), 910-928, 2020 | 22 | 2020 |
| Stochastic variational inference for large-scale discrete choice models using adaptive batch sizes LSL Tan Statistics and Computing 27, 237-257, 2017 | 22 | 2017 |
| Variational inference for sparse spectrum Gaussian process regression LSL Tan, VMH Ong, DJ Nott, A Jasra Statistics and Computing 26, 1243-1261, 2016 | 22 | 2016 |
| Variational approximation for mixtures of linear mixed models SL Tan, DJ Nott Journal of Computational and Graphical Statistics 23 (2), 564-585, 2014 | 22 | 2014 |
| Explicit inverse of tridiagonal matrix with applications in autoregressive modelling LSL Tan IMA Journal of Applied Mathematics 84 (4), 679-695, 2019 | 18 | 2019 |
| Conditionally structured variational Gaussian approximation with importance weights LSL Tan, A Bhaskaran, DJ Nott Statistics and Computing 30 (5), 1255-1272, 2020 | 17 | 2020 |
| Topic-adjusted visibility metric for scientific articles LSL Tan, AH Chan, T Zheng The Annals of Applied Statistics 10 (1), 1-31, 2016 | 12 | 2016 |
| Analytic natural gradient updates for Cholesky factor in Gaussian variational approximation LSL Tan arXiv preprint arXiv:2109.00375, 2022 | 8 | 2022 |
| Efficient data augmentation techniques for some classes of state space models LSL Tan arXiv preprint ArXiv:1712.08887, 2022 | 3* | 2022 |
| Dynamic degree-corrected blockmodels for social networks: A nonparametric approach LSL Tan, MD Iorio Statistical Modelling 19 (4), 386-411, 2019 | 3 | 2019 |
| Variational inference based on a subclass of closed skew normals LSL Tan arXiv preprint arXiv:2306.02813, 2023 | 2 | 2023 |
| Functional models for longitudinal data with covariate dependent smoothness DK Mensah, DJ Nott, LSL Tan, L Marshall | 1 | 2016 |
David NottAssociate Professor of Statistics, National University of Singapore在 nus.edu.sg 的电子邮件经过验证
