To cite BrokenAdaptiveRidge in publications use:

Kawaguchi E, Suchard MA, Liu Z, Li G (2020). “A surrogate L0 sparse Cox regression with applications to sparse high-dimensional massive sample size time-to-event data.” Statistics in Medicine, 39, 675-686. doi:10.1002/sim.8438.

Li N, Peng X, Kawaguchi E, Suchard MA, Li G (2021). “A scalable surrogate L0 sparse regression method for generalized linear models with applications to large scale data.” Journal of Statistical Planning and Inference, 213, 262-281. doi:10.1016/j.jspi.2020.12.001.

Suchard MA, Simpson SE, Zorych I, Ryan P, Madigan D (2013). “Massive parallelization of serial inference algorithms for complex generalized linear models.” ACM Transactions on Modeling and Computer Simulation, 23, 10. doi:10.1145/2414416.2414791.

Corresponding BibTeX entries:

  @Article{,
    author = {E. Kawaguchi and M. A. Suchard and Z. Liu and G. Li},
    title = {A surrogate L0 sparse Cox regression with applications to
      sparse high-dimensional massive sample size time-to-event data},
    journal = {Statistics in Medicine},
    volume = {39},
    pages = {675-686},
    year = {2020},
    doi = {10.1002/sim.8438},
  }

  @Article{,
    author = {N. Li and X. Peng and E. Kawaguchi and M. A. Suchard and
      G. Li},
    title = {A scalable surrogate L0 sparse regression method for
      generalized linear models with applications to large scale data},
    journal = {Journal of Statistical Planning and Inference},
    volume = {213},
    pages = {262-281},
    year = {2021},
    doi = {10.1016/j.jspi.2020.12.001},
  }

  @Article{,
    author = {M. A. Suchard and S. E. Simpson and I. Zorych and P. Ryan
      and D. Madigan},
    title = {Massive parallelization of serial inference algorithms for
      complex generalized linear models},
    journal = {ACM Transactions on Modeling and Computer Simulation},
    volume = {23},
    pages = {10},
    year = {2013},
    doi = {10.1145/2414416.2414791},
  }