RESEARCH PUBLICATIONS
RESEARCH PUBLICATIONS
Horseshoe penalised credible regions for high-dimensional variable selection (with K.D. Dang)
Expectation propagation for approximate Bayesian empirical likelihood inference (with K. Ng & H.D. Bondell)
Factor-decomposed non-stationary Gaussian processes for accurate now casting (with X.A. Wang & T. Wozniak)
Sequential Monte-Carlo for atypical empirical likelihood inference (with X.A. Wang)
Smith, M. S., Yu, W., Nott, D. J., & Frazier, D. (2025). Cutting feedback in misspecified copula models. Journal of the American Statistical Association. https://doi.org/10.1080/01621459.2025.2464270
Yu, W., & Bondell, H. (2024). Bayesian empirical likelihood regression for semiparametric estimation of optimal dynamic treatment regimes. Statistics in Medicine. https://doi.org/10.1002/sim.10251
Ormerod, J.T., Stewart, M., Yu, W., & Romanes, S.E. (2024). Bayesian hypothesis tests with diffuse priors: Can we have our cake and eat it too? Australian & New Zealand Journal of Statistics. https://doi.org/10.1111/anzs.12410
Lo, C. J., Lee, L., Yu, W., Tai, E. S., Yew, T. W., & Ding, I. L. (2023). Mindsets and self-efficacy beliefs among individuals with type 2 diabetes. Scientific Reports (2023). https://doi.org/10.1038/s41598-023-47617-4
Yu, W., & Bondell, H.D. (2023). Bayesian likelihood-based regression for estimation of optimal dynamic treatment regime. Journal of the Royal Statistical Society, Series B. https://doi.org/10.1093/jrsssb/qkad016
Yu, W., & Bondell, H.D. (2023). Variational Bayes for fast and accurate empirical likelihood inference. Journal of the American Statistical Association. https://doi.org/10.1080/01621459.2023.2169701
Yu, W., Wade, S., Azizi, L., & Bondell, H.D. (2022). Nonstationary Gaussian process discriminant analysis with variable selection for high-dimensional functional data. Journal of Computational and Graphical Statistics. https://doi.org/10.1080/10618600.2022.2098136
Yu, W., Ormerod, J.T., & Stewart, M. (2020). Variational discriminant analysis with variable selection. Statistics and Computing. https://doi.org/10.1007/s11222-020-09928-8
Yu, W., Azizi, L., & Ormerod, J.T. (2020). Variational nonparametric discriminant analysis. Computational Statistics and Data Analysis. https://doi.org/10.1016/j.csda.2019.106817
Yu, W., Bondell, H.D. (2022) Conditional distribution-based downweighting for robust estimation of logistic regression models. Festschrift in Honor of David E. Tyler. Springer.
Zhang, Y., Yu, W., Bondell, H.D. (2021). Variable selection with shrinkage priors for posterior summaries. Handbook of Bayesian Variable Selection. Taylor and Francis.