焦熙云Google Scholar ResearcherID

助理教授 统计与数据科学系
焦熙云，现任南方科技大学统计与数据科学系助理教授，博士生导师。2016年获得伦敦帝国理工学院统计学博士学位，2017年至2020年在伦敦大学学院从事博士后研究。研究方向为计算统计、贝叶斯统计、马尔可夫链蒙特卡罗算法、群体遗传学中的统计方法，已在Journal of Computational and Graphical Statistics, Journal of Econometrics, Systematic Biology等国际知名期刊上发表论文。
个人简介
个人简介

研究领域计算统计
贝叶斯统计
马尔可夫链蒙特卡罗算法
群体遗传学中的统计方法

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学术成果 查看更多1. Jiao, X. and Yang, Z.; Defining species despite gene flow. Systematic Biology, pages in press.
2. Jiao, X., Flouri, T., Rannala, B., and Yang, Z.; The impact of cross-species gene flow on species tree estimation. Systematic Biology, pages in press.
3. Jiao, X. and van Dyk, D. A.; A corrected and more efficient suite of MCMC samplers for the multinomal probit model. Journal of Econometrics, to appear.
4. Flouri, T., Jiao, X., Rannala, B., and Yang, Z. (2020). A Bayesian implementation of the multispecies coalescent model with introgression for comparative genomic analysis. Molecular Biology and Evolution, 37(4), 1211-1223.
5. Flouri, T., Jiao, X., Rannala, B., and Yang, Z. (2018). Species tree inference with BPP using genomic sequences and the multispecies coalescent. Molecular Biology and Evolution, 35 (10), 2585-2593.
6. Shariff, H., Jiao, X., Dhawan, S., Leibundgut, B., Trotta, R., and van Dyk, D. A. (2016). Standardizing Type Ia supernovae using near infrared rebrightening timing. Monthly Notices of the Royal Astronomical Society, 463, 4311-4316.
7. Shariff, H., Jiao, X., Trotta, R., and van Dyk, D. A. (2016). BAHAMAS: New SNIa analysis reveals inconsistencies with standard cosmology. The Astrophysical Journal, 827, No. 1.
8. Jiao, X., van Dyk, D. A., Trotta, R., and Shariff, H. (2016). The efficiency of next-generation Gibbs-type samplers: An illustration using a hierarchical model in cosmology. New Developments in Statistical Modeling, Inference and Application: Selected Papers from the 2014 ICSA/KISS Joint Applied Statistics Symposium in Portland, OR, 167-184.
9. van Dyk, D. A. and Jiao, X. (2015). Metropolis-Hastings within partially collapsed Gibbs samplers. Journal of Computational and Graphical Statistics, 24, 301-327.



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