High-Dimensional Overdispersed Generalized Factor Model with Application to Single-Cell Sequencing Data Analysis
高维过度离散广义因子模型及单细胞测序应用
The current high-dimensional linear factor models fail to account for the different types of variables, while high-dimensional nonlinear factor models often overlook the overdispersion present in mixed-type data. However, overdispersion is prevalent in practical applications, particularly in fields like biomedical and genomics studies. To address this practical demand, we propose an overdispersed generalized factor model (OverGFM) for performing high-dimensional nonlinear…