Matías' suggested papers for STAT548

How it works: Please choose a paper from the following list. Look at the paper first and let me know if you would like to work on that paper so that I can mark it as unavaliable on this website. Papers that are overstriken are no longer available. Contact me (in person or by e-mail) to schedule a meeting so that we can discuss exactly what you would like to do with the paper you chose.


  • Sun, Q., Zhou, W-X., and Fan, J. (2019). Adaptive Huber regression. Journal of the American Statistical Association. DOI: 10.1080/01621459.2018.1543124

  • Fan, J., Li, Q. and Wang, Y. (2017). Estimation of high dimensional mean regression in the absence of symmetry and light tail assumptions. Journal of the Royal Statistical Society. Series B, Statistical methodology, 79-247. DOI: 10.1111/rssb.12166

  • Delaigle, Aurore; Hall, Peter. Defining probability density for a distribution of random functions. The Annals of Statistics, 38 (2010), no. 2, 1171-1193. DOI 10.1214/09-AOS741

  • Wang, X., Jiang, Y., Huang, M. and Zhang, H. (2013). Robust variable selection with exponential squared loss. Journal of the American Statistical Association 108(502), 632-643. DOI: 10.1080/01621459.2013.766613

  • Tan, K-M, Sun, Q. and Witten, D. Robust Sparse Reduced Rank Regression in High Dimensions. (2019). arXiv:

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