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stat.ME2026
A reduced rank model for spatial categorical data with many classes
Paul B May, Andrew Simpson, Semhar Michael
We develop an identifiable reduced-rank spatial multinomial model for categorical data with many classes. The model represents class-specific spatial effects through a low-dimensio…
stat.ME2025
Statistical few-shot learning for large-scale classification via parameter pooling
Andrew Simpson, Semhar Michael
In large-scale few-shot learning for classification problems, often there are a large number of classes and few high-dimensional observations per class. Previous model-based method…