3 papers
stat.ME2026
Detecting Breast Carcinoma Metastasis on Whole-Slide Images by Partially Subsampled Multiple Instance Learning
Baichen Yu, Xuetong Li, Jing Zhou +1
Breast cancer is the most prevalent cancer in women worldwide. Histopathology image analysis serves as the gold standard for cancer diagnosis. In this regard, whole-slide imaging (…
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…