Model-based clustering provides a principled way of developing clustering methods. We develop a new model-based clustering methods for count data. The method combines clustering and variable selection ...
Maize is an important cereal that is grown and consumed all over the world. Among the selection methods that contribute to increasing the frequency of favorable alleles in native maize populations, ...
ABSTRACT: Current high-dimensional feature screening methods still face significant challenges in handling mixed linear and nonlinear relationships, controlling redundant information, and improving ...
ABSTRACT: Function-on-scalar regression is a type of function response regression used to analyze the relationship between function response and a set of scalar predictor factors. The variable ...
Abstract: Variable selection is the process of selecting a subset of relevant variables for use in model construction. It is a critical step in forecasting but has not yet played a major role in the ...
We may receive a commission on purchases made from links. It's common for would-be gardeners to get discouraged from starting a garden for a variety of reasons, ending up staring wistfully at endless ...
Endogeneity presents a significant challenge in conducting causal inference in observational settings. Researchers in social sciences, statistics, and related fields have developed various ...
1 Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, China 2 Key Laboratory of Coal Environmental Pathogenicity and Prevention (Shanxi Medical University), ...
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