no code implementations • 12 Sep 2022 • Chengliang Tang, Nathan Lenssen, Ying WEI, Tian Zheng
To overcome this fundamental issue, we propose Wasserstein Distributional Learning (WDL), a flexible density-on-scalar regression modeling framework that starts with the Wasserstein distance $W_2$ as a proper metric for the space of density outcomes.