12. Zhu W., Li W., & Shen W. (2024+) Likelihood-free Gibbs Sequential Monte Carlo Sampling, Statistica Sinica, In Press, Accepted.

11. Zhu W., Zuo T., Wang C. (2023+). Approximate Bayesian computation with semiparametric density ratio model. Journal of Nonparametric Statistics, in press.

10. Mei, X., Wang, Y., & Zhu, W. (2023). Bayesian nonparametric portfolio selection with rolling maximum drawdown control. Quantitative Finance, 23(10), 1497-1510.

9. Chen K, Shen W, Zhu W. (2023). Covariate Dependent Beta-GOS Process. Computational Statistics & Data Analysis, 180:107662.  

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.

7. Dalla Valle, L., Leisen, F., Rossini, L., & Zhu, W. (2021). A Polya-Gamma sampler for a generalized logistic regression. Journal of Statistical Computation and Simulation, 1-18.

6. Dalla Valle L, Leisen F, Rossini L and Zhu W. "Bayesian analysis of immigration in Europe with generalized logistic regression". Journal of Applied Statistics, 2020, 47(3), 424-438

5. Cassese A, Zhu W, Guindani M and Vannucci M, "A Bayesian Nonparametric Spiked Process Prior for Dynamic Model Selection", Bayesian Analysis, 2019, 14(2), 553-572.

4. Zhu W, Leisen F, Marin J.M. “A Bootstrap Likelihood approach to Bayesian Computation”, Australian and New Zealand Journal of Statistics. 2016, 58, 227--244.

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. “A multivariate extension of a vector of two-parameter Poisson-Dirichlet processes", Journal of Nonparametric Statistics. 2015, Volume 27, Issue 1, 89-105. 

1. Wang J, Liu D, Zhang H, Zhu W, Dong Z, Zang Y. “Asymmetry of the dorsal anterior cingulate cortex: evidences from multiple modalities of MRI," Neuroinformatics. April 2013, Volume 11, Issue 2, pp 149-157.