selected publications academic article Zhou, Q., Yang, J., Vats, D., Roberts, G. O., & Rosenthal, J. S. (2022). Dimension-free mixing for high-dimensional Bayesian variable selection. Journal of the Royal Statistical Society Series B: Statistical Methodology. 84(5), 1751-1784. Ernst, P. A., Imerman, M. B., Shepp, L., & Zhou, Q. (2022). Fiscal stimulus as an optimal control problem. Stochastic Processes and their Applications. 150, 1091-1108. Zhou, Q., & Smith, A. (2021). Rapid Convergence of Informed Importance Tempering Zhou, Q., Yang, J., Vats, D., Roberts, G. O., & Rosenthal, J. S. (2021). Dimension-free Mixing for High-dimensional Bayesian Variable Selection Zhou, Q., & Chang, H. (2021). Complexity analysis of Bayesian learning of high-dimensional DAG models and their equivalence classes Ernst, P. A., Peskir, G., & Zhou, Q. (2020). OPTIMAL REAL-TIME DETECTION OF A DRIFTING BROWNIAN COORDINATE. Annals of Applied Probability. 30(3), 1032-1065. Peng, S., & Zhou, Q. (2020). A hypothesis-testing perspective on the G-normal distribution theory. Statistics and Probability Letters. 156, 108623-108623. Zhou, Q., & Guan, Y. (2019). Fast Model-Fitting of Bayesian Variable Selection Regression Using the Iterative Complex Factorization Algorithm. Bayesian Analysis. 14(2), 573-594. Zhou, Q. (2019). Asymptotics of multivariate contingency tables with fixed marginals. Journal of Statistical Planning and Inference. 198, 165-170. Ernst, P. A., Kimmel, M., Kurpas, M., & Zhou, Q. (2018). Heavy-tailed distributions in branching process models of secondary cancerous tumors. Advances in Applied Probability. 50(A), 99-114. Zhou, Q., Ernst, P. A., Morgan, K. L., Rubin, D. B., & Zhang, A. (2018). Sequential rerandomization. Biometrika. 105(3), 745-752. Atkinson, J. T., Jones, A. M., Zhou, Q., & Silberg, J. J. (2018). Circular permutation profiling by deep sequencing libraries created using transposon mutagenesis. Nucleic Acids Research. 46(13), e76-e76. Zhou, Q., & Guan, Y. (2018). On the Null Distribution of Bayes Factors in Linear Regression. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION. 113(523), 1362-1371. Ernst, P. A., Rogers, L., & Zhou, Q. (2017). The value of foresight. Stochastic Processes and their Applications. 127(12), 3913-3927. He, D., Zhu, Q. i., Zhou, Q., Qi, Q., Sun, H., Zachariah, L. M., ... Zhou, X. (2017). Correlation of serum MMP3 and other biomarkers with clinical outcomes in patients with ankylosing spondylitis: a pilot study. Clinical Rheumatology. 36(8), 1819-1826. Zou, B., Li, J., Zhou, Q., & Quan, Z. (2017). MIPE: A metagenome-based community structure explorer and SSU primer evaluation tool. PLoS One. 12(3), e0174609-e0174609. Zhou, Q., Zhao, L., & Guan, Y. (2016). Strong Selection at MHC in Mexicans since Admixture. PLOS Genetics. 12(2), e1005847-e1005847. Yu, D., Gadkari, M., Zhou, Q., Yu, S., Gao, N., Guan, Y., ... Shen, L. (2015). Postnatal epigenetic regulation of intestinal stem cells requires DNA methylation and is guided by the microbiome. 16(1), 211. Mao, D., Zhou, Q., Chen, C., & Quan, Z. (2012). Coverage evaluation of universal bacterial primers using the metagenomic datasets. BMC Microbiology. 12(1), 66. institutional repository document Li, G., Smith, A., & Zhou, Q. (2023). Importance is Important: A Guide to Informed Importance Tempering Methods Angelis, T. D., Garg, J., & Zhou, Q. (2022). A quickest detection problem with false negatives Chang, H., Lee, C. J., Luo, Z. T., Sang, H., & Zhou, Q. (2022). Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection Problems Li, G., & Zhou, Q. (2022). Bayesian Multi-task Variable Selection with an Application to Differential DAG Analysis Chang, H., Cai, J., & Zhou, Q. (2022). Order-based Structure Learning without Score Equivalence
teaching activities STAT312 Statistics For Biology Instructor STAT436 Multivariate Anly And Stat Lrn Instructor STAT614 Probability For Stat Instructor STAT621 Adv Stochastic Processes Instructor STAT681 Seminar Instructor STAT691 Research Instructor STAT695 Frontiers In Stat Research Instructor
