Wang, Lan, Peng, Bo, Bradic, Jelena, Li, Runze, and Wu, Yunan. A Tuning-free Robust and Efficient Approach to High-dimensional Regression. Retrieved from https://par.nsf.gov/biblio/10217337. Journal of the American Statistical Association 115.532 Web. doi:10.1080/01621459.2020.1840989.

Wang, Lan, Peng, Bo, Bradic, Jelena, Li, Runze, & Wu, Yunan. A Tuning-free Robust and Efficient Approach to High-dimensional Regression. Journal of the American Statistical Association, 115 (532). Retrieved from https://par.nsf.gov/biblio/10217337. https://doi.org/10.1080/01621459.2020.1840989

Wang, Lan, Peng, Bo, Bradic, Jelena, Li, Runze, and Wu, Yunan. "A Tuning-free Robust and Efficient Approach to High-dimensional Regression". Journal of the American Statistical Association 115 (532). Country unknown/Code not available. https://doi.org/10.1080/01621459.2020.1840989. https://par.nsf.gov/biblio/10217337.

@article{osti_10217337,
place = {Country unknown/Code not available}, title = {A Tuning-free Robust and Efficient Approach to High-dimensional Regression}, url = {https://par.nsf.gov/biblio/10217337}, DOI = {10.1080/01621459.2020.1840989}, abstractNote = {}, journal = {Journal of the American Statistical Association}, volume = {115}, number = {532}, author = {Wang, Lan and Peng, Bo and Bradic, Jelena and Li, Runze and Wu, Yunan}, editor = {null} }