Antik Chakraborty,Rihui Ou,David B Dunson
Antik Chakraborty
It has become increasingly common to collect high-dimensional binary response data; for example, with the emergence of new sampling techniques in ecology. In smaller dimensions, multivariate probit (MVP) models are routinely used for infere...
Low-rank regression models for multiple binary responses and their applications to cancer cell-line encyclopedia data [0.03%]
低秩回归模型在癌症细胞系百科全书数据中的多二元响应应用研究
Seyoung Park,Eun Ryung Lee,Hongyu Zhao
Seyoung Park
In this paper, we study high-dimensional multivariate logistic regression models in which a common set of covariates is used to predict multiple binary outcomes simultaneously. Our work is primarily motivated from many biomedical studies wi...
Fast and Accurate Binary Response Mixed Model Analysis Via Expectation Propagation [0.03%]
基于期望传播的快速精确二元响应混合模型分析方法
P Hall,I M Johnstone,J T Ormerod et al.
P Hall et al.
Expectation propagation is a general prescription for approximation of integrals in statistical inference problems. Its literature is mainly concerned with Bayesian inference scenarios. However, expectation propagation can also be used to a...