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Liu-type Shrinkage Estimators for Mixture of Poisson Regressions with Experts: A Heart Disease Study
Multicollinearity is one of the most common challenges with regression models, leading to ill-conditioned design matrices of Poisson regression components and expert classes.
Statistical Inference, Learning and Models in Big Data
The need for new methods to deal with big data is a common theme in most scientific fields, although its definition tends to vary with the context.
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