3 papers
stat.ME2021
Contraction of a quasi-Bayesian model with shrinkage priors in precision matrix estimation
Ruoyang Zhang, Yisha Yao, Malay Ghosh
Currently several Bayesian approaches are available to estimate large sparse precision matrices, including Bayesian graphical Lasso (Wang, 2012), Bayesian structure learning (Baner…
math.ST2020
Adaptive Estimation In High-Dimensional Additive Models With Multi-Resolution Group Lasso
Yisha Yao, Cun-Hui Zhang
In additive models with many nonparametric components, a number of regularized estimators have been proposed and proven to attain various error bounds under different combinations…
stat.ME2020
Constructing Confidence Intervals for the Signals in Sparse Phase Retrieval
Yisha Yao
In this paper, we provide a general methodology to draw statistical inferences on individual signal coordinates or linear combinations of them in sparse phase retrieval. Given an i…