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Linear forecasting models can be used in both types of forecasting methods. In the case of causal methods, the causal model may consist of a linear regression with several explanatory variables.

This article considers high-dimensional regression problems in which the number of predictors p exceeds the sample size n. We develop a model-averaging procedure for high-dimensional regression ...

Investigating systemic risk, the authors build an interbank network based on tail dependence and suggest typical network ...

A machine learning model bests traditional methods for predicting cirrhosis mortality among hospitalized patients.

AI models analyzing tumor-infiltrating lymphocytes show promise in predicting outcomes for triple-negative breast cancer, but external validation reveals critical performance gaps.