Research Papers

  • Feng, Y., Lv, L., *Yan, X., Xu, L., and *Liu, T.,(2024). A gradient-improved sampling plan for surrogate- based aerodynamic shape optimization using discontinuous Galerkin methods. Physics of Fluids, 36, 086115.
  • Konchady, T., * Macri, M.L., Yan, X., and Huang, Z.J. (2024). The M33 Synoptic Stellar Survey. III. Miras and LPVs in griJHKs. Monthly Notices of the Royal Astronomical Society Main Journal, 531(1), pp. 110–132. Link:https://doi.org/10.1093/mnras/stae1140
  • Zhou, H., Yan, X. and *Zhou, L. (2023). Robust joint modeling of sparsely observed paired functional data. Can J Statistics.Link: https://doi.org/10.1002/cjs.11796
  • He, S. and *Yan, X., (2022). Functional principal subspace sampling for large scale functional data analysis. Electronic Journal of Statistics, 16(1), pp.2621-2682. Link: https://doi.org/10.1214/22-EJS2010
  • *He, S. and Yan, X., (2020). Randomized estimation of functional covariance operator via subsampling. Stat, 9(1), p.e311. Link: https://doi.org/10.1002/sta4.311
  • 肖攀, 苏静, & 阎晓萌. (2020). 农户家庭多维贫困的状态转换及影响因素分析——来自cfps微观面板数据的证据. 经济经纬, 37(2), 8.
  • 苏静, 肖攀, & 阎晓萌. (2019). 社会资本与农村金融对农户家庭多维贫困转化的影响研究——基于cfps微观面板数据的分析. 经济问题(9), 8.
  • 苏静, 肖攀, & 阎晓萌. (2019). 社会资本异质性、融资约束与农户家庭多维贫困. 湖南大学学报：社会科学版, 33(5), 9.

Preprints

  • Yan, X., and He, S., (2025+) Poisson Subsampling for Large-Scale Functional Data Analysis. Under Review for Scandinavian Journal of Statisitcs.
  • Chen, Y., Shi, G., Yan, X., and Zhang, B., (2025+) On the two-sample Behrens-Fisher problem for high-dimensional data. Journal of Multivarate Analysis. To appear.
  • Yu, H., Dou, Z., Chen, Z. and Yan, X., (2024+). Optimal subsampling for large scale Elastic-net regression. arXiv preprint arXiv:2305.15177.
  • Yan, X., Wang, L., He, S. and Huang, Z.J. (2025+). ICE: Independent Component Estimation of Spectrophotometric Properties of Type Ia Supernovae. Under Review for The Astrophysical Journal.