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20132022
most citedFully Bayesian Logistic Regression with Hyper-Lasso Priors for High-dimensional Feature Selection

16 citations · 49 across the 14 of their papers we have counts for

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Showing 2014Show all

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stat.CO2014★ 16 cited

Fully Bayesian Logistic Regression with Hyper-Lasso Priors for High-dimensional Feature Selection

Longhai Li, Weixin Yao

High-dimensional feature selection arises in many areas of modern science. For example, in genomic research we want to find the genes that can be used to separate tissues of differ…

stat.ME2014★ 2 cited

Robust Linear Regression: A Review and Comparison

Chun Yu, Weixin Yao, Xue Bai

Ordinary least-squares (OLS) estimators for a linear model are very sensitive to unusual values in the design space or outliers among y values. Even one single atypical value may h…