The deep generative model yields an implicit estimator for the unknown
d...
We consider generative adversarial networks (GAN) for estimating paramet...
We investigate statistical properties of a likelihood approach to
nonpar...
We consider a sparse linear regression model with unknown symmetric erro...
In this paper, we use the class of Wasserstein metrics to study asymptot...
Mixture models are regularly used in density estimation applications, bu...
In this paper we use an iterative algorithm for solving Fredholm equatio...