Research interests
My main research is currently in Bayesian statistics, particularly Bayesian nonparametric models, Approximate Bayesian Computation and other methods dealing with intractable likelihood. I am interested in applying those models in ecology and epidemiological science.
My main research is currently in Bayesian statistics, particularly Bayesian nonparametric models, Approximate Bayesian Computation and other methods dealing with intractable likelihood. I am interested in applying those models in ecology and epidemiological science.
Journal Publications:
8.Bi J, Shen W, Zhu W. (2022). Random Forest Adjustment for Approximate Bayesian Computation. Journal of Computational and Graphical Statistics, 31(1), 64-73. Link.
7.Dalla Valle, L., Leisen, F., Rossini, L., & Zhu, W. (2021). A Pólya–Gamma sampler for a generalized logistic regression. Journal of Statistical Computation and Simulation, 91(14): 2899-2916. Link
6.Dalla Valle, L., Leisen, F., Rossini, L., & Zhu, W. (2020). Bayesian analysis of immigration in Europe with generalized logistic regression. Journal of Applied Statistics, 47(3), 424-438. Link
5.Cassese, A; Zhu, W; Guindani, M; Vannucci, M. (2019). A Bayesian Nonparametric Spiked Process Prior for Dynamic Model Selection. Bayesian Analysis, 14 , no. 2, 553--572. Link
4. Zhu W, Leisen F, Marin J.M. (2016). A Bootstrap Likelihood approach to Bayesian Computation, Australian and New Zealand Journal of Statistics, 58, 227--244. Link
3. Zhu W, and Shen W. (2016). Discussion of “Perils and potentials of self-selected entry to epidemiological studies and surveys”. Journal of the Royal Statistical Society: Series A.
2. Zhu W, Leisen F. (2015). A multivariate extension of a vector of two-parameter Poisson-Dirichlet processes", Journal of Nonparametric Statistics. Volume 27, Issue 1, 89-105. Link
1. Wang J, Liu D, Zhang H, Zhu W, Dong Z, Zang Y. (2013). Asymmetry of the dorsal anterior cingulate cortex: evidences from multiple modalities of MRI. Neuroinformatics. April 2013, Volume 11, Issue 2, pp 149-157. Link
8.Bi J, Shen W, Zhu W. (2022). Random Forest Adjustment for Approximate Bayesian Computation. Journal of Computational and Graphical Statistics, 31(1), 64-73. Link.
7.Dalla Valle, L., Leisen, F., Rossini, L., & Zhu, W. (2021). A Pólya–Gamma sampler for a generalized logistic regression. Journal of Statistical Computation and Simulation, 91(14): 2899-2916. Link
6.Dalla Valle, L., Leisen, F., Rossini, L., & Zhu, W. (2020). Bayesian analysis of immigration in Europe with generalized logistic regression. Journal of Applied Statistics, 47(3), 424-438. Link
5.Cassese, A; Zhu, W; Guindani, M; Vannucci, M. (2019). A Bayesian Nonparametric Spiked Process Prior for Dynamic Model Selection. Bayesian Analysis, 14 , no. 2, 553--572. Link
4. Zhu W, Leisen F, Marin J.M. (2016). A Bootstrap Likelihood approach to Bayesian Computation, Australian and New Zealand Journal of Statistics, 58, 227--244. Link
3. Zhu W, and Shen W. (2016). Discussion of “Perils and potentials of self-selected entry to epidemiological studies and surveys”. Journal of the Royal Statistical Society: Series A.
2. Zhu W, Leisen F. (2015). A multivariate extension of a vector of two-parameter Poisson-Dirichlet processes", Journal of Nonparametric Statistics. Volume 27, Issue 1, 89-105. Link
1. Wang J, Liu D, Zhang H, Zhu W, Dong Z, Zang Y. (2013). Asymmetry of the dorsal anterior cingulate cortex: evidences from multiple modalities of MRI. Neuroinformatics. April 2013, Volume 11, Issue 2, pp 149-157. Link
