工作经历

Associate Professor at Wang Yanan Institute for Studies in Economics (WISE) and Department of Statistics and Data Science, School of Economics, Xiamen University, 2025- Present

Assistant Professor at Wang Yanan Institute for Studies in Economics (WISE) and Department of Statistics and Data Science, School of Economics, Xiamen University, 2017- 2025

Leverhulme Trust Postdoc at University of Sheffield, joint position at School of Mathematics and Statistics, and Department of Animal and Plant Sciences, UK. February 2016 - July 2017

教育经历

PhD in Business Administration and Quantitative Methods, Statistics Department, Universidad Carlos III de Madrid, Madrid, Spain. September 2012 - January 2016

M.S. in Business Administration and Quantitative Methods, Statistics Department, Universidad Carlos III de Madrid, Madrid, Spain, September 2010-September, 2012

B.S. in Statistics, Beijing Normal University, September 2005 - July 2009 

研究兴趣：Bayesian Nonparametric Statistics, Markov Chain Monte Carlo (MCMC) algorithms, Approximate Bayesian Computation (ABC) algorithms, Biostatistics.

科研论文

14. Zhu W., Liao F., Ni Y. (2026) DAG trend filtering for genomic denoising via higher-order Bayesian networks and DAG shrinkage processes, Biometrics, (Accepted)

13. Ni Y., & Zhu W. (2026). Bayesian latent ising model for joint microbial and metabolomic network inference. Journal of Applied Statistics, 1–15. (Accepted)

12. Zhu W., Li W., & Shen W. (2026) Likelihood-free Gibbs Sequential Monte Carlo Sampling, Statistica Sinica, In Press, Accepted.

11. Zhu W., Zuo T., Wang C. (2024+). 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.