Wei, Zhenyu, and Lee, Thomas C. High-Dimensional Multi-Task Learning using Multivariate Regression and Generalized Fiducial Inference. Retrieved from https://par.nsf.gov/biblio/10344821. Journal of Computational and Graphical Statistics 32.1 Web. doi:10.1080/10618600.2022.2090946.

Wei, Zhenyu, & Lee, Thomas C. High-Dimensional Multi-Task Learning using Multivariate Regression and Generalized Fiducial Inference. Journal of Computational and Graphical Statistics, 32 (1). Retrieved from https://par.nsf.gov/biblio/10344821. https://doi.org/10.1080/10618600.2022.2090946

Wei, Zhenyu, and Lee, Thomas C. "High-Dimensional Multi-Task Learning using Multivariate Regression and Generalized Fiducial Inference". Journal of Computational and Graphical Statistics 32 (1). Country unknown/Code not available: Taylor and Francis. https://doi.org/10.1080/10618600.2022.2090946. https://par.nsf.gov/biblio/10344821.

@article{osti_10344821,
place = {Country unknown/Code not available}, title = {High-Dimensional Multi-Task Learning using Multivariate Regression and Generalized Fiducial Inference}, url = {https://par.nsf.gov/biblio/10344821}, DOI = {10.1080/10618600.2022.2090946}, abstractNote = {}, journal = {Journal of Computational and Graphical Statistics}, volume = {32}, number = {1}, publisher = {Taylor and Francis}, author = {Wei, Zhenyu and Lee, Thomas C.}, }