68 citations · 95 across the 7 of their papers we have counts for
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math.ST2019★ 2 cited
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…
math.ST2019★ 1 cited
Adaptive Huber Regression on Markov-dependent Data
Jianqing Fan, Yongyi Guo, Bai Jiang
High-dimensional linear regression has been intensively studied in the community of statistics in the last two decades. For the convenience of theoretical analyses, classical metho…
stat.ME2019
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…