22 citations · 84 across the 31 of their papers we have counts for
6 papers · 1 filter
Bayesian high-dimensional linear regression with generic spike-and-slab priors
Bai Jiang, Qiang Sun
Spike-and-slab priors are popular Bayesian solutions for high-dimensional linear regression problems. Previous theoretical studies on spike-and-slab methods focus on specific prior…
Modeling Symmetric Positive Definite Matrices with An Application to Functional Brain Connectivity
Zhenhua Lin, Dehan Kong, Qiang Sun
In neuroscience, functional brain connectivity describes the connectivity between brain regions that share functional properties. Neuroscientists often characterize it by a time se…
Iteratively Reweighted -Penalized Robust Regression
Xiaoou Pan, Qiang Sun, Wen-Xin Zhou
This paper investigates tradeoffs among optimization errors, statistical rates of convergence and the effect of heavy-tailed errors for high-dimensional robust regression with nonc…
Resistant convex clustering: How does the fusion penalty enhance resistantance?
Qiang Sun, Archer Gong Zhang, Chenyu Liu +1
Convex clustering is a convex relaxation of the -means and hierarchical clustering. It involves solving a convex optimization problem with the objective function being a squared…
Gaussian Approximations for Maxima of Random Vectors under -th Moments
Qiang Sun
We derive a Gaussian approximation result for the maximum of a sum of random vectors under -th moments. Our main theorem is abstract and nonasymptotic, and can be applied to…
Bayesian Factor-adjusted Sparse Regression
Jianqing Fan, Bai Jiang, Qiang Sun
This paper investigates the high-dimensional linear regression with highly correlated covariates. In this setup, the traditional sparsity assumption on the regression coefficients…