Penalized empirical likelihood inference for sparse additive hazards regression with a diverging number of covariates

Shanshan Wang, Liming Xiang. Penalized empirical likelihood inference for sparse additive hazards regression with a diverging number of covariates. Statistics and Computing, 27(5):1347-1364, 2017. [doi]

@article{WangX17-3,
  title = {Penalized empirical likelihood inference for sparse additive hazards regression with a diverging number of covariates},
  author = {Shanshan Wang and Liming Xiang},
  year = {2017},
  doi = {10.1007/s11222-016-9690-x},
  url = {http://dx.doi.org/10.1007/s11222-016-9690-x},
  researchr = {https://researchr.org/publication/WangX17-3},
  cites = {0},
  citedby = {0},
  journal = {Statistics and Computing},
  volume = {27},
  number = {5},
  pages = {1347-1364},
}