@ARTICLE{wang2020unified,
        author = {{Wang}, Zhu},
         title = {Unified Robust Estimation via the {COCO}},
       journal = {arXiv e-prints},
      keywords = {Statistics - Methodology, Statistics - Computation},
          year = 2020,
         month = oct,
           eid = {arXiv:2010.02848},
         pages = {arXiv:2010.02848},
 archivePrefix = {arXiv},
        eprint = {2010.02848},
  primaryClass = {stat.ME},
        adsurl = {https://ui.adsabs.harvard.edu/abs/2020arXiv201002848W},
       adsnote = {Provided by the SAO/NASA Astrophysics Data System}
 }
@book{heritier2009robust,
   title={{Robust Methods in Biostatistics}},
   author={Heritier, Stephane and Cantoni, Eva and Copt, Samuel and Victoria-Feser, Maria-Pia},
   volume={825},
   year={2009},
   publisher={John Wiley \& Sons}
 }

@article{riphahn2003incentive,
  title={Incentive effects in the demand for health care: a bivariate panel count data estimation},
  author={Riphahn, Regina T and Wambach, Achim and Million, Andreas},
  journal={Journal of Applied Econometrics},
  volume={18},
  number={4},
  pages={387--405},
  year={2003},
  publisher={Wiley Online Library}
}

@article{wang2014zip,
 title={{EM} for regularized zero inflated regression models with applications to postoperative morbidity after cardiac surgery in children},
 author={Wang, Zhu and
  Ma, Shuangge and
  Wang, Ching-Yun and
  Zappitelli, Michael and
  Devarajan, Prasad and
  Parikh, Chirag},
 journal={Statistics in Medicine},
 year={2014},
 volume={33},
 number={29},
 pages={5192--5208},
 Url = {http://dx.doi.org/10.1002/sim.6314}
 }

@article{wang2014zinb,
title={
Variable selection for zero-inflated and overdispersed data with application to health care demand in {Germany}},
author={Wang, Zhu and
Ma, Shuangge and
Wang, Ching-Yun},
journal={Biometrical Journal},
year={2015},
volume={33(29)},
pages={5192-208},
Url={http://dx.doi.org/10.1002/bimj.201400143}
}

@article{wang2019mm,
       author = {{Wang}, Zhu},
        title = {MM for Penalized Estimation},
      journal = {TEST},
     keywords = {Statistics - Computation, Statistics - Machine Learning},
         year = 2021,
        month = apr,
 primaryClass = {stat.CO},
          url = {https://doi:10.1007/s11749-021-00770-2}
}
