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Found 3 papers, 1 papers with code
Spatially and Robustly Hybrid Mixture Regression Model for Inference of Spatial Dependence
Compared with existing spatial regression models, our proposed model assumes the existence a few distinct regression models that are estimated based on observations that exhibit similar response-predictor relationships.
Supervised clustering of high dimensional data using regularized mixture modeling
Identifying relationships between molecular variations and their clinical presentations has been challenged by the heterogeneous causes of a disease.
Component-wise Adaptive Trimming For Robust Mixture Regression
Existing robust mixture regression methods suffer from outliers as they either conduct parameter estimation in the presence of outliers, or rely on prior knowledge of the level of outlier contamination.
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