A Bayesian Approach to Sparse Cox Regression in High-Dimentional Survival Analysis

Olga Krasotkina, Vadim Mottl. A Bayesian Approach to Sparse Cox Regression in High-Dimentional Survival Analysis. In Petra Perner, editor, Machine Learning and Data Mining in Pattern Recognition - 11th International Conference, MLDM 2015, Hamburg, Germany, July 20-21, 2015, Proceedings. Volume 9166 of Lecture Notes in Computer Science, pages 425-437, Springer, 2015. [doi]

@inproceedings{KrasotkinaM15a,
  title = {A Bayesian Approach to Sparse Cox Regression in High-Dimentional Survival Analysis},
  author = {Olga Krasotkina and Vadim Mottl},
  year = {2015},
  doi = {10.1007/978-3-319-21024-7_30},
  url = {http://dx.doi.org/10.1007/978-3-319-21024-7_30},
  researchr = {https://researchr.org/publication/KrasotkinaM15a},
  cites = {0},
  citedby = {0},
  pages = {425-437},
  booktitle = {Machine Learning and Data Mining in Pattern Recognition - 11th International Conference, MLDM 2015, Hamburg, Germany, July 20-21, 2015, Proceedings},
  editor = {Petra Perner},
  volume = {9166},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-21023-0},
}