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stat.ME2025
A Semiparametric Gaussian Mixture Model with Spatial Dependence and Its Application to Whole-Slide Image Clustering Analysis
Baichen Yu, Jin Liu, Hansheng Wang
We develop here a semiparametric Gaussian mixture model (SGMM) for unsupervised learning with valuable spatial information taken into consideration. Specifically, we assume for eac…
stat.ME2025
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections
Jiaxin Shi, Xuening Zhu, Jing Zhou +2
We study one particular type of multivariate spatial autoregression (MSAR) model with diverging dimensions in both responses and covariates. This makes the usual MSAR models no lon…