本研究针对高维多元广义线性模型(Multivariate General Linear Model, MGLM)中的参数矩阵检验难题，来自国内的研究团队开发了创新的统计检验方法。通过构建新型检验统计量，解决了传统方法在大维度数据场景下的失效问题，为基因组学等高通量数据分析提供了可靠工具。

A simple heuristic is proposed for constructing robust experimental designs for multivariate generalized linear models. The method is based on clustering a set of local optimal designs. A method for ...

This is a preview. Log in through your library . Abstract Simultaneous procedures for variable selection in multiple linear regression have recently been given by Aitkin. One of these procedures, ...