2 papers
math.ST2018
Weighted batch means estimators in Markov chain Monte Carlo
Ying Liu, James M. Flegal
This paper proposes a family of weighted batch means variance estimators, which are computationally efficient and can be conveniently applied in practice. The focus is on Markov ch…
stat.ME2017
Total Variation Regularized Tensor-on-scalar Regression
Ying Liu, Bowei Yan, Kathleen Merikangas +1
In this paper, we propose Total Variation Regularized Tensor-on-scalar Regression(TVTR), a novel method for estimating the association between a tensor outcome (a one dimensional o…