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stat.ME2024★ 4 cited
Penalized Sparse Covariance Regression with High Dimensional Covariates
Yuan Gao, Zhiyuan Zhang, Zhanrui Cai +3
Covariance regression offers an effective way to model the large covariance matrix with the auxiliary similarity matrices. In this work, we propose a sparse covariance regression (…
stat.CO2024
Grid Point Approximation for Distributed Nonparametric Smoothing and Prediction
Yuan Gao, Rui Pan, Feng Li +2
Kernel smoothing is a widely used nonparametric method in modern statistical analysis. The problem of efficiently conducting kernel smoothing for a massive dataset on a distributed…
stat.ME2024
A Latent Factor Model for High-Dimensional Binary Data
Jiaxin Shi, Yuan Gao, Rui Pan +1
In this study, we develop a latent factor model for analysing high-dimensional binary data. Specifically, a standard probit model is used to describe the regression relationship be…